{"title":"Statistical physics Books","description":"","products":[{"product_id":"an-introduction-to-thermal-physics-9780192895554","title":"An Introduction to Thermal Physics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThermal physics deals with collections of large numbers of particles - typically 10 to the 23rd power or so. Examples include the air in a balloon, the water in a lake, the electrons in a chunk of metal, and the photons given off by the sun. We can''t possibly follow every detail of the motions of so many particles. So in thermal physics we assume that these motions are random, and we use the laws of probability to predict how the material as a whole ought to behave. Alternatively, we can measure the bulk properties of a material, and from these infer something about the particles it is made of.This book will give you a working understanding of thermal physics, assuming that you have already studied introductory physics and calculus. You will learn to apply the general laws of energy and entropy to engines, refrigerators, chemical reactions, phase transformations, and mixtures. You will also learn to use basic quantum physics and powerful statistical methods to predict in detail how te\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eI am a great admirer of Schroeder's book. While writing a graduate textbook in the subject, I studied many books in statistical mechanics, at various levels of sophistication. Of these, Schroeder's text stood out. Indeed, it was the only one I envied -- his sense of fun, his vivid explanations, and his deep insights into conceptual issues. * James P. Sethna, Cornell University, author of 'Statistical Mechanics: Entropy, Order Parameters, and Complexity', Second Edition, OUP 2021 *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Part I: Fundamentals 1: Energy in Thermal Physics 2: The Second Law 3: Interactions and Implications Part II: Thermodynamics 4: Engines and Refrigerators 5: Free Energy and Chemical Thermodynamics Part III: Statistical Mechanics 6: Boltzmann Statistics 7: Quantum Statistics 8: Systems of Interacting Particles Appendix A: Elements of Quantum Mechanics Appendix B: Mathematical Results Suggested Reading Reference Data Index","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732612952407,"sku":"9780192895554","price":37.52,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780192895554.jpg?v=1719997650"},{"product_id":"sailing-the-ocean-of-complexity-lessons-from-the-physicsbiology-frontier-9780192897893","title":"Sailing the Ocean of Complexity Lessons from the","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe book provides a non-specialist introduction to the reasons why we can make sense of the world around and within us, facing the oceans of complexity which inhabit both. The book provides a scientific and easily accessible description of some of the key physical mechanisms by which the wonderful gift of life materializes in the natural world.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis book gives a nontechnical survey of complex systems, strongly emphasizing the connection of fundamental physics to biology. Starting with a very nice foundational discussion, the Succi goes on to look at the connection developed by Boltzmann between microscopic physics and macroscopic biology...the thoughtful reader will be rewarded. * Choice *\u003cbr\u003eThis is an interesting exploration of how the complex macroscopic world is derivable from microscopic physics, and how the non-linearity of complex systems leads to issues of predictability and at the same time accounts for physical structures. The author gives personal comments on his own appreciation of the physics throughout the book, as well as a thought-provoking conclusion suggesting that our experience of time is a consequence of the emergence of complexity. * E. Kincanon, Gonzaga University, CHOICE connect *\u003cbr\u003eComplexity is between the two infinities \"very big\" and \"very small\" - always a fascinating subject. The author explains things in a very easy-going way, and adds some entertaining stories and thoughts which make it entertaining to read. * Christian Beck, Queen Mary University of London *\u003cbr\u003eComplexity science is of critical importance in the modern world, but not on the radar screen of the average reader. This book, designed for the general public, is intended to fix that problem in a very enjoyable and entertaining style. * Bruce Boghosian, Tufts University *\u003cbr\u003eA fresh and competent view on a very interesting scientific topic. * Guido Caldarelli, School IMT Alti Studi Lucca *\u003cbr\u003eSauro Succi's new book is both superb and essential. Succi, with clarity and wit, takes us from quarks and Boltzmann to soft matter - precisely the frontier of physics and life. Someone said, “There is no truth beyond magic”. Succi shows us the magic at the edge of life. * Stuart Kauffman, MacArthur Fellow, Fellow of the Royal Society of Canada, Gold Medal Accademia Lincea *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Part 1: COMPLEXITY 1: Introducing Complexity 2: The Guiding Barriers 3: Competition and Cooperation 4: Nonlinearity, The Mother of Complexity 5: The Dark Side of Nonlinearity 6: The Bright Side of Nonlinearity 7: Networks, The Fabric of Complexity Part 2: THE SCIENCE OF CHANGE 8: Good Old Thermodynamics 9: The Man Who Trusted Atoms 10: Biological Escapes 11: Cosmological Escapes 12: Free Energy Part 3: THE PHYSICS-BIOLOGY INTERFACE 13: Survival in Molecular Hyperland, the Ozland Valleys 14: Free Energy Funnels 15: Soft Matter, The Stu that Dreams Are Made Of 16: Water, the Wonderuid Part 4: COMPLEXITY AND THE HUMAN CONDITION 17: Time and the Complexity of the Human Condition 18: Harness the Hybris: Hallelujah! 19: Appendices Epilogue Acknowledgements References","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732614689111,"sku":"9780192897893","price":28.02,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780192897893.jpg?v=1719997659"},{"product_id":"introductory-statistical-mechanics-9780198505761","title":"Introductory Statistical Mechanics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book explains the ideas and techniques of statistical mechanics-the theory of condensed matter-in a simple and progressive way. The text starts with the laws of thermodynamics and simple ideas of quantum mechanics. The conceptual ideas underlying the subject are explained carefully; the mathematical ideas are developed in parallel to give a coherent overall view. The text is illustrated with examples not just from solid state physics, but also from recent theories of radiation from black holes and recent data on the background radiation from the Cosmic background explorer. In this second edition, slightly more advanced material on statistical mechanics is introduced, material which students should meet in an undergraduate course. As a result the new edition contains three more chapters on phase transitions at an appropriate level for an undergraduate student. There are plenty of problems at the end of each chapter, and brief model answers are provided for odd-numbered problems. From reviews of the first edition: ''...Introductory Statistical Mechanics is clear and crisp and takes advantage of the best parts of the many approaches to the subject''  Physics Today","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732762767703,"sku":"9780198505761","price":50.34,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198505761.jpg?v=1719998291"},{"product_id":"machine-learning-for-signal-processing-9780198714934","title":"Machine Learning for Signal Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDescribes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis book provides an excellent pathway for gaining first-class expertise in machine learning. It provides both the technical background that explains why certain approaches, but not others, are best practice in real world problems, and a framework for how to think about and approach new problems. I highly recommend it for people with a signal processing background who are seeking to become an expert in machine learning. * Alex 'Sandy' Pentland, Toshiba Professor of Media Arts and Sciences, Massachusetts Institute of Technology, *\u003cbr\u003eOver the past decade in signal processing, machine learning has gone from a disparate research field known only to people working on topics such as speech and image processing, to permeating all aspects of it. With this book, Prof. Little has taken an important step in unifying machine learning and signal processing. As a whole, this book covers many topics, new and old, that are important in their own right and equips the reader with a broader perspective than traditional signal processing textbooks. In particular, I would highlight the combination of statistical modeling, convex optimization, and graphs as particularly potent. Machine learning and signal processing are no longer separate, and there is no doubt in my mind that this is the way to teach signal processing in the future. * Mads Christensen, Full Professor in Audio Processing, Aalborg University, Denmark, *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Mathematical Foundations 2: Optimization 3: Random Sampling 4: Statistical Modelling and Inference 5: Probabalistic Graphical Models 6: Statistical Machine Learning 7: Linear-Gaussian Systems and Signal Processing 8: Discrete Signals: Sampling, Quantization and Coding 9: Nonlinear and Non-Gaussian Signal Processing 10: Nonparametric Bayesian Machine Learning and Signal Processing","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732768600407,"sku":"9780198714934","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"lagrangian-and-hamiltonian-dynamics-9780198822387","title":"Lagrangian and Hamiltonian Dynamics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe book introduces classical mechanics. It does so in an informal style with numerous fresh, modern and inter-disciplinary applications assuming no prior knowledge of the necessary mathematics. The book provides a comprehensive and self-contained treatment of the subject matter up to the forefront of research in multiple areas.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I: Newtonian Mechanics 1: Introduction 2: Newton's Three Laws 3: Energy and Work 4: Introductory Rotational Dynamics 5: The Harmonic Oscillator 6: Wave Mechanics \u0026amp; Elements of Mathematical Physics Part II: Langrangian Mechanics 7: Introduction 8: Coordinates \u0026amp; Constraints 9: The Stationary Action Principle 10: Constrained Langrangian Mechanics 11: Point Transformations in Langrangian Mechanics 12: The Jacobi Energy Function 13: Symmetries \u0026amp; Langrangian-Hamiltonian-Jacobi Theory 14: Near-Equilibrium Oscillations 15: Virtual Work \u0026amp; d'Alembert's Principle Part III: Canonical Mechanics 16: Introduction 17: The Hamiltonian \u0026amp; Phase Space 18: Hamiltonian's equations \u0026amp; Routhian Reduction 19: Poisson Brackets \u0026amp; Angular momentum 20: Canonical \u0026amp; Gauge Transformations 21: Hamilton-Jacobi Theory 22: Liouville's Theorem \u0026amp; Classical Statistical Mechanics 23: Constrained Hamiltonian Dynamics 24: Autonomous Geometrical Mehcanics 25: The Structure of Phase Space 26: Near-Integrable Systems Part IV: Classical Field Theory 27: Introduction 28: Langrangian Field Theory 29: Hamiltonian Field Theory 30: Clssical Electromagnetism 31: Neother's Theorem for Fields 32: Classical Path-Integrals Part V: Preliminary Mathematics 33: The (Not so?) Basics 34: Matrices 35: Partial Differentiation 36: Legendre Transformations 37: Vector Calculus 38: Differential equations 39: Calculus of Variations Part VI: Advanced Mathematics 40: Linear Algebra 41: Differential Geometry Part VII: Exam Style Questions Appendix A: Noether's Theorem Explored Appendix B: The Action Principle Explored Appendix C: Useful Relations Appendxi D: Poisson \u0026amp; Nambu Brackets Explored Appendix: Canonical Transformations Explored Appendix F: Action-Angle Variables Explored Appendix G: Statistical Mechanics Explored Appendix H: Biographies","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732797108567,"sku":"9780198822387","price":39.42,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198822387.jpg?v=1719998439"},{"product_id":"introduction-to-statistical-mechanics-and-thermodynamics-oxford-graduate-texts-9780198853237","title":"Introduction to Statistical Mechanics and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAn Introduction to Statistical Mechanics and Thermodynamics returns with a second edition which includes new chapters, further explorations, and updated information into the study of statistical mechanics and thermal dynamics.The first part of the book derives the entropy of the classical ideal gas, using only classical statistical mechanics and an analysis of multiple systems first suggested by Boltzmann. The properties of the entropy are then expressed as postulates of thermodynamics in the second part of the book. From these postulates, the formal structure of thermodynamics is developed. The third part of the book introduces the canonical and grand canonical ensembles, which are shown to facilitate calculations for many model systems. An explanation of irreversible phenomena that is consistent with time-reversal invariance in a closed system is presented. The fourth part of the book is devoted to quantum statistical mechanics, including black-body radiation, the harmonic solid, Bose-Einstein and Fermi-Dirac statistics, and an introduction to band theory, including metals, insulators, and semiconductors. The final chapter gives a brief introduction to the theory of phase transitions. Throughout the book, there is a strong emphasis on computational methods to make abstract concepts more concrete.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eReview from previous edition In his innovative new text, Carnegie Mellon University physics professor Robert Swendsen presents the foundations of statistical mechanics with, as he puts it, a detour through thermodynamics. That's a desirable strategy because the statistical approach is more fundamental than the classical thermodynamics approach and has many applications to current research problems. [] The mathematical notation is carefully introduced and useful; the selected mathematical techniques are clearly explained in a conversational style that both graduate and advanced undergraduate students will find easy to follow. The author's subject organization and conceptual viewpoint address some of the shortcomings of conventional developments of thermal physics and will be helpful to students and researchers seeking a deep appreciation of statistical physics. * Physics Today, August 2013 *\u003cbr\u003eBob Swendsen's book is very well thought out, educationally sound, and more original than other texts. * Jan Tobochnik, Kalamazoo College, USA *\u003cbr\u003eRobert Swendsen is a well-respected researcher who has developed many novel algorithms that illustrate his deep understanding of statistical mechanics. His textbook reflects his deep understanding and will likely have a major impact on the way statistical mechanics and thermodynamics is taught. Particularly noteworthy is Swendsen's treatment of entropy, following Boltzmann's original definition in terms of probability, and his comprehensive discussion of the fundamental principles and applications of statistical mechanics and thermodynamics. Students and instructors will enjoy reading the book as much as Swendsen obviously enjoyed writing it. * Harvey Gould, Clark University, USA *\u003cbr\u003eIn this reader-friendly, excellent text, the author provides a unique combination of the best of two worlds: traditional thermodynamics (following Callen's footsteps) and modern statistical mechanics (including VPython codes for simulations). * Royce Zia, Virginia Polytechnic Institute and State University, USA *\u003cbr\u003eSwendsen is famous for developing Monte Carlo algorithms which dramatically speed up the simulation of many systems near a phase transition. The ideas for those algorithms required deep understanding of statistical mechanics, an understanding which is now fully applied to this excellent textbook. * Peter Young, University of California, USA *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Introduction1:  Part 1 Entropy 2: The Classical Ideal Gas 3: Discrete Probability Theory 4: The Classical Ideal Gas: Configurational Entropy 5: Continuous Random Numbers 6: The Classical Ideal Gas: Energy-Dependence of Entropy 7: Classical Gasses: Ideal and Otherwise 8: Temperature Pressure, Chemical Potential, and All That Part 2 Thermodynamics 9: The Postulates and Laws of Thermodynamics 10: Perturbations of Thermodynamic State Functions 11: Thermodynamics Processes 12: Thermodynamic Potentials 13: The Consequences of Extensivity 14: Thermodynamic Identities 15: Extremum Principles 16: Stability Conditions 17: Phase Transitions 18: The Nernst Postulate: the Third Law of Thermodynamics Part 3 Classical Statistical Mechanics 19: Ensembles in Classical Statistical Mechanics 20: Classical Ensembles: Grand and Otherwise 21: Refining the Definition of Entropy 22: Irreversibility Part 4 Quantum Statistical Mechanics 23: Quantum Ensembles 24: Quantum Canonical Ensemble 25: Black-Body Radiation 26: The Harmonic Solid 27: Ideal Quantum Gases 28: Bose-Einstein Statistics 29: Fermi-Dirac Statistics 30: Insulators and Semiconductors 31: Phase Transitions and the Ising Model Appendix Appendix: Computer Calculations and VPython Index Index Free","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732814377303,"sku":"9780198853237","price":72.2,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198853237.jpg?v=1719998513"},{"product_id":"atomic-pair-distribution-function-analysis-9780198885801","title":"Atomic Pair Distribution Function Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSince the early 1990s the atomic pair distribution function (PDF) analysis of powder diffraction data has undergone something of a revolution in its ability to do just that: yield important structural information beyond the average crystal structure of a material. With the advent of advanced sources, computing and algorithms, it is now useful for studying the structure of nanocrystals, clusters and molecules in solution or otherwise disordered in space, nanoporous materials and things intercalated into them, and to look for local distortions and defects in crystals. It can be used in a time-resolved way to study structural changes taking place during synthesis and in operating devices, and to map heterogeneous systems.Although the experiments are somewhat straightforward, there can be a gap in knowledge when trying to use PDF to extract structural information by modelling. This book addresses this gap and guides the reader through a series of real life worked examples that gradually in\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Introduction and review 1.1 What this book is not 1.2 What this book is 1.3 Why PDF? 1.4 Software 2: PDF Primer 2.1 Introduction 2.2 X-ray scattering from materials 2.3 Obtaining the PDF from x-ray total scattering data 2.4 The pair distribution function 2.5 Extracting structural information from the PDF 2.6 Measurement of total scattering data 2.7 It is time to start modelling! 3: PDF modelling of simple crystal structures: Bulk Ni and Pt nanoparticles 3.1 Introduction and overview 3.2 The question 3.3 The result 3.4 The experiment 3.5 What next? 3.6 Wait, what? How do I do that? 3.7 Problems 3.8 Solution 3.9 Diffpy-CMI solution 4: Getting the PDF 4.1 Introduction and overview 4.2 The question 4.3 The result 4.4 The experiment 4.5 What next? 4.6 Wait, what? How do I do that? 4.7 results 4.8 problems 4.9 solution 5: Quantification of sample phase composition: physical mixtures of Si and Ni 5.1 Introduction and overview 5.2 The question 5.3 The result 5.4 The experiment 5.5 What next? 5.6 Wait, what? How do I do that? 5.7 Problems 5.8 Solution 5.9 Diffpy-CMI Solution 6: More advanced crystal structure modeling: the room-temperature structure of crystalline Ba0.7K0.3(Zn0.85Mn0.15)2As2 6.1 Introduction and overview 6.2 The question 6.3 The result 6.4 The experiment 6.5 What next? 6.6 Wait, what? How do I do that? 6.7 Problems 6.8 Solution 6.9 Diffpy-CMI Solution 7: Investigating the tetragonal-to-orthorhombic phase transition in SrFe2As2 7.1 Introduction and overview 7.2 The question 7.3 The result 7.4 The experiment 7.5 What next? 7.6 Wait, what? How do I do that? 7.7 Problems 7.8 Solution 7.9 Diffpy-CMI Solution 8: Simple modeling of nanoparticles: Size-dependent structure, defects and morphology of quantum dot nanoparticles 8.1 Introduction and overview 8.2 The question 8.3 The result 8.4 The experiment 8.5 What next? 8.6 Wait, what? How do I do that? 8.7 Problems 8.8 Solutions 8.9 Diffpy-CMI Solution 9: Local structure in a crystal with short-range ordered lower-symmetry domains: Local iridium dimerization and triclinic distortions in cubic CuIr1.76Cr0.24S4 9.1 Introduction and overview 9.2 The question 9.3 The result 9.4 The experiment 9.5 What next? 9.6 Wait, what? How do I do that? 9.7 Problems 9.8 Solution 9.9 Diffpy-CMI Solution 10: Nano and polycrystalline thin films: Local structure of nanocrystalline TiO2 grown on glass 10.1 Introduction and overview 10.2 The question 10.3 The result 10.4 The experiment 10.5 What next? 10.6 Wait, what? How do I do that? 10.7 Problems 10.8 Solution 10.9 Diffpy-CMI Solution 11: Structure of discrete tetrahedral quantum dots: Atomically precise CdSe tetrahedral nanoclusters 11.1 Introduction and overview 11.2 The question 11.3 The result 11.4 The experiment 11.5 What next? 11.6 Wait, what? How do I do that? 11.7 Problems 11.8 Solution 12: Structure and intercalation environment of disordered layered materials: zirconium phosphonateDSphosphate unconventional MOFs 12.1 Introduction . 12.2 The question 12.3 The result 12.4 The experiment 12.5 What next? 12.6 Wait, what? How do I do that? 12.7 Problems 12.8 Solution 13: Magnetic PDF 13.1 Introduction and overview 13.2 The question 13.3 The result 13.4 The experiment 13.5 What next? 13.6 Wait, what? How do I do that? 13.7 Problems 13.8 Solution 14: Tips and Tricks: PDF measurements 14.1 Introduction and overview 14.2 Basic overview: what are total scattering data? 14.3 What type of radiation should I use? 14.4 Detectors 14.5 Sample geometries 14.6 Samples 14.7 Sample environments 15: More PDF Tips and Tricks 15.1 Introduction 15.2 PXRD or PDF, Q-space or r-space analysis? 15.3 Model-free analysis of PDF 15.4 More options for PDF modelling 15.5 Automated PDF modelling 15.6 Final words 16: Appendix 1: Python 16.1 Introduction 16.2 Installing Python programs 16.3 The terminal and the command prompt 16.4 Python IDE\u0026gt;'s and Jupyter Notebooks 17: Appendix 2: Data processing and integration 17.1 Introduction Bibliography","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732827681111,"sku":"9780198885801","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"introduction-to-dynamical-wave-function-collapse-9780198901372","title":"Introduction to Dynamical Wave Function Collapse","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eQuantum theory (QT) is the best, most useful physics theory ever invented. For example, ubiquitous are cell phones, laser scanners, medical imagers, all inventions depending on QT. However, there is something deeply wrong with QT. It describes the probabilities of what happens, but it does not give a description of what actually happens. Most (but not all) physicists are not worried about this flaw, the probabilities are good enough for them. Other physicists, the author included, believe that is not good enough. The purpose of physics is to describe reality. To not do so is to abandon ''the great enterprise'' (John Bell). This book shows one way to alter QT so that the new theory does describe what actually happens. This theory, created over three decades ago, has been called the ''Continuous Spontaneous Localization'' (CSL) theory.Many experiments over this period have tested CSL, and so far it is neither confirmed nor refuted. This book shows how CSL works, and discusses its consequ\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA most welcome addition to the physics literature written with extreme care and covering the objective subject matter in a thorough professional and methodical manner. * Daniel Sudarsky, UNAM, Mexico City *\u003cbr\u003eA book of very high quality presenting a way of modifying quantum mechanics to remove some of its most serious problems (especially the measurement problem). * Kelvin McQueen, Chapman University, Orange, California *\u003cbr\u003ePearle is the master of this material and writes with beautiful clarity and well-judged occasional witticisms and side-remarks. His experience as teacher, as well as researcher, shows in the vivid explanations, and the careful and consistent level of detail in the exposition. * Jeremy Butterfield, University of Cambridge *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Introduction 2: Continuous Spontaneous Localization (CSL) Theory 3: CSL Theory Refinements 4: Non-Relativistic CSL 5: Spontaneous Localization (SL) Theory 6: Some Experiments Testing CSL 7: Interpretational Remarks 8: Supplement to Chapter 1 9: Supplement to Chapter 2 10: Supplement to Chapter 3 11: Supplement to Chapter 4 12: Supplement to Chapter 5 13: Supplement to Chapter 6 14: Supplement to Chapter 7 15: A Stochastic Differential Equation Cookbook 16: CSL Expressed as a Schrodinger Stochastic DE 17: Applying the CSL Stratonovich Equation to the Free Particle Undergoing Collapse in Position 18: Applying the CSL Stratonovich Equation to the Harmonic Oscillator Undergoing Collapse in Position Appendix A: Gaussians Appendix B: Random Walk Appendix C: Brownian Motion\/Wiener Process Appendix D: White Noise Appendix E: White Noise Field Appendix F: Density Matrix Appendix G: Theoretical Constraint Calculations","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732829614423,"sku":"9780198901372","price":42.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198901372.jpg?v=1719998580"},{"product_id":"concepts-in-thermal-physics-9780199562107","title":"Concepts in Thermal Physics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAn understanding of thermal physics is crucial to much of modern physics, chemistry and engineering. This book provides a modern introduction to the main principles that are foundational to thermal physics, thermodynamics and statistical mechanics. The key concepts are carefully presented in a clear way, and new ideas are illustrated with copious worked examples as well as a description of the historical background to their discovery. Applications are presented to subjects as diverse as stellar astrophysics, information and communication theory, condensed matter physics and climate change. Each chapter concludes with detailed exercises.The second edition of this popular textbook maintains the structure and lively style of the first edition but extends its coverage of thermodynamics and statistical mechanics to include several new topics, including osmosis, diffusion problems, Bayes theorem, radiative transfer, the Ising model and Monte Carlo methods. New examples and exercises have been added throughout.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis is probably the best book I know of thermodynamics and statistical physics. The authors have done really a great job. [...] The contents of the book are organised in such way that it can be used for a standard undergraduate level course in thermodynamics and statistical mechanics, where it is also possible to make the appropriate selection of the topics depending on the level and duration of the course. It could also be very useful as a source reference for lecturers in thermodynamics and statistical physics. * M.A.F. Sanjuan, Contemporary Physics *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eI: PRELIMINARIES; II: KINETIC THEORY OF GASES; III: TRANSPORT AND THERMAL DIFFUSION; IV: THE FIRST LAW; V: THE SECOND LAW; VI: THERMODYNAMICS IN ACTION; VII: STATISTICAL MECHANICS; VIII: BEYOND THE IDEAL GAS; IX: SPECIAL TOPICS","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732865167703,"sku":"9780199562107","price":37.52,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780199562107.jpg?v=1719998728"},{"product_id":"a-first-course-in-string-theory-9780521880329","title":"A First Course in String Theory","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eZwiebach is once again faithful to his goal of making string theory accessible to undergraduates. This text now includes AdS\/CFT correspondence, as well introducing superstrings. With almost 300 problems and exercises it is perfectly suited for introductory courses for students with a background in physics.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'A refreshingly different approach to string theory that requires remarkably little previous knowledge of quantum theory or relativity. This highlights fundamental features of the theory that make it so radically different from theories based on point-like particles. This book makes the subject amenable to undergraduates but it will also appeal greatly to beginning researchers who may be overwhelmed by the standard textbooks.'  Michael Green, University of Cambridge\u003cbr\u003e'Barton Zwiebach has written a careful and thorough introduction to string theory that is suitable for a full-year course at the advanced undergraduate level. There has been much demand for a book about string theory at this level, and this one should go a long way towards meeting that demand.'  John Schwarz, California Institute of Technology\u003cbr\u003e'There is a great curiosity about string theory, not only among physics undergraduates but also among professional scientists outside of the field. This audience needs a text that goes much further than the popular accounts but without the full technical detail of a graduate text. Zwiebach's book meets this need in a clear and accessible manner. It is well-grounded in familiar physical concepts, and proceeds through some of the most timely and exciting aspects of the subject.'  Joseph Polchinski, University of California, Santa Barbara\u003cbr\u003e'Zwiebach, a respected researcher in the field and a much beloved teacher at MIT, is truly faithful to his goal of making string theory accessible to advanced undergraduates – the test develops intuition before formalism, usually through simplified and illustrative examples … Zwiebach avoids the temptation of including topics that would weigh the book down and make many students rush it back to the shelf and quit the course.'  Physics Today\u003cbr\u003e'… well-written … takes us through the hottest topics in string theory research, requiring only a solid background in mechanics and some basic quantum mechanics. … This is not just one more text in the ever-growing canon of popular books on string theory …' The Times Higher Education Supplement\u003cbr\u003e'… the book provides an excellent basis for an introductory course on string theory and is well-suited for self-study by graduate students or any physicist who wants to learn the basics of string theory.'  Zentralblatt MATH\u003cbr\u003e'… excellent introduction by Zwiebach… aimed at advanced undergraduates who have some background in quantum mechanics and special relativity, but have not necessarily mastered quantum field theory and general relativity yet … the book … is a very thorough introduction to the subject … Equipped with this background, the reader can safely start to tackle the books by Green, Schwarz and Witten and by Polchinski.'  Marcel L. Vonk, Mathematical Reviews Clippings\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eForeword; Preface; Acknowledgements; Part I. Basics: 1. A brief introduction; 2. Special relativity and extra dimensions; 3. Electromagnetism and gravitation in various dimensions; 4. Nonrelativistic strings; 5. The relativistic point particle; 6. Relativistic strings; 7. Strong parameterization and classical motion; 8. World-sheet currents; 9. Light-cone relativistic strings; 10. Light-cone fields and particles; 11. The relativistic quantum point particle; 12, Relativistic quantum closed strings; 13. Relativistic quantum closed strings; 14. A look at relativistic superstrings; Part II. Developments: 15. D-branes and gauge fields; 16. String charge and electric charge; 17. T-duality of closed strings; 18. T-duality of open strings; 19. Electromagnetism fields in D-branes; 20. Nonlinear and Born-Infeld electrodynamics; 21. Strong theory and particle physics; 22. String thermodynamics and black holes; 23. Strong interactions and AdS\/CFT; 24. Covariant string quantization; 25. String interactions and Riemann surfaces; 26. Loop amplitudes in string theory; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48733864329559,"sku":"9780521880329","price":57.94,"currency_code":"GBP","in_stock":true}]},{"product_id":"the-statistical-physics-of-data-assimilation-and-machine-learning-9781316519639","title":"The Statistical Physics of Data Assimilation and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eData assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Prologue: linking 'The Future' with the present; 2. A data assimilation reminder; 3. Remembrance of things path; 4. SDA variational principles; Euler–Lagrange equations and Hamiltonian formulation; 5. Using waveform information; 6. Annealing in the model precision Rf; 7. Discrete time integration in data assimilation variational principles; Lagrangian and Hamiltonian formulations; 8. Monte Carlo methods; 9. Machine learning and its equivalence to statistical data assimilation; 10. Two examples of the practical use of data assimilation; 11. Unfinished business; Bibliography; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738562834775,"sku":"9781316519639","price":55.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781316519639.jpg?v=1720049479"},{"product_id":"spatial-networks-a-complete-introduction-from-graph-theory-and-statistical-physics-to-real-world-applications-9783030941086","title":"Spatial Networks: A Complete Introduction: From","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides a complete introduction into spatial networks. It offers the mathematical tools needed to characterize these structures and how they evolve in time and presents the most important models of spatial networks.\u003cbr\u003eThe book puts a special emphasis on analyzing complex systems which are organized under the form of networks where nodes and edges are embedded in space. In these networks, space is relevant, and topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields, ranging from urbanism to epidemiology.\u003cbr\u003eThis subject is therefore at the crossroad of many fields and is of potential interest to a broad audience comprising physicists, mathematicians, engineers, geographers or urbanists. In this book, the author has expanded his previous book (\"Morphogenesis of Spatial Networks\") to serve as a textbook and reference on this topic for a wide range of students and professional researchers.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“This book, written by a statistical physicist, has the style of a survey rather than a mathematics textbook. It outlines numerous results (around 500 papers are cited) via descriptions of statistics and models and back-of-envelope calculations and simulation results together with real-world data examples. It is fairly technically undemanding, meaning mostly accessible to an advanced undergraduate mathematics student. … This book succeeds admirably in its stated ‘complete Introduction’ goal … .” (David J. Aldous, Mathematical Reviews, October, 2022)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e0. Introduction\u003cbr\u003eI. Characterization\u003cbr\u003e 1. Planar graphs\u003cbr\u003e 2. Simple measures\u003cbr\u003e 3. Betweenness centrality\u003cbr\u003e 4. Simplicity and Entropy\u003cbr\u003e 5. The shape of shortest paths\u003cbr\u003e 6. Spatial dominance\u003cbr\u003e 7. Typology of spatial networks\u003cbr\u003e 8. Time evolution of spatial networks\u003cbr\u003eII. Models\u003cbr\u003e  1. Spatial random graphs\u003cbr\u003e  2. Tesselations of the plane\u003cbr\u003e  3. Random geometric graphs \u003cbr\u003e  4. beta-skeletons\u003cbr\u003e  5. Loops and branches\u003cbr\u003e  6. Optimal networks\u003cbr\u003e  7. Growing networks\u003cbr\u003e  8. Greedy models\u003cbr\u003e  9. Transitions in spatial networks\u003cbr\u003e 10. Multilayer networks\u003cbr\u003eIII. Discussion and perspectives","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743060275543,"sku":"9783030941086","price":54.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"statistical-methods-for-data-analysis-with-applications-in-particle-physics-9783031199332","title":"Statistical Methods for Data Analysis: With","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP).\u003c\/p\u003e\u003cp\u003eIt starts with an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits.\u003c\/p\u003e\u003cp\u003eThe reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“The book is important because, as AI and data science continue to shape the future, much interdisciplinary work is being done in many different domains. It is a very good example of interdisciplinary physics research using AI and data science. ... Graduate students are often expected to apply theoretical knowledge. This book will be an invaluable resource for them, to jumpstart their research by getting equipped with the right statistical and data analysis toolsets.” (Gulustan Dogan, Computing Reviews, August 8, 2023)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface to the third edition\u003c\/p\u003e  \u003cp\u003ePreface to previous edition\/s\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1 Probability Theory\u003c\/p\u003e  1.1 Why Probability Matters to a Physicist\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.2 The Concept of Probability\u003c\/p\u003e  1.3 Repeatable and Non-Repeatable Cases\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.4 Different Approaches to Probability\u003c\/p\u003e  1.5 Classical Probability\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.6 Generalization to the Continuum\u003c\/p\u003e  1.7 Axiomatic Probability Definition\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.8 Probability Distributions\u003c\/p\u003e  1.9 Conditional Probability\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.10 Independent Events\u003c\/p\u003e  1.11 Law of Total Probability\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.12 Statistical Indicators: Average, Variance and Covariance\u003c\/p\u003e 1.13 Statistical Indicators for a Finite Sample\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.14 Transformations of Variables\u003c\/p\u003e  1.15 The Law of Large Numbers\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.16 Frequentist Definition of Probability\u003c\/p\u003e  References\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e 2 Discrete Probability Distributions\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e2.1 The Bernoulli Distribution\u003c\/p\u003e  2.2 The Binomial Distribution\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e2.3 The Multinomial Distribution\u003c\/p\u003e  2.4 The Poisson Distribution\u003cp\u003e\u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3 Probability Distribution Functions\u003c\/p\u003e  3.1 Introduction\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3.2 Definition of Probability Distribution Function\u003c\/p\u003e  3.3 Average and Variance in the Continuous Case\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3.4 Mode, Median, Quantiles\u003c\/p\u003e  3.5 Cumulative Distribution\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3.6 Continuous Transformations of Variables\u003c\/p\u003e  3.7 Uniform Distribution\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3.8 Gaussian Distribution\u003c\/p\u003e  3.9 X^2 Distribution\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3.10 Log Normal Distribution\u003c\/p\u003e  3.11 Exponential Distribution\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e3.12 Other Distributions Useful in Physics\u003c\/p\u003e  \u003cp\u003e3.13 Central Limit Theorem\u003c\/p\u003e  \u003cp\u003e3.14 Probability Distribution Functions in More than One Dimension\u003c\/p\u003e  \u003cp\u003e3.15 Gaussian Distributions in Two or More Dimensions\u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e4 Bayesian Approach to Probability\u003c\/p\u003e  4.1 Introduction\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e4.2 Bayes’ Theorem\u003c\/p\u003e  4.3 Bayesian Probability Definition\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e4.4 Bayesian Probability and Likelihood Functions\u003c\/p\u003e  4.5 Bayesian Inference\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e4.6 Bayes Factors\u003c\/p\u003e  4.7 Subjectiveness and Prior Choice\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e4.8 Jeffreys’ Prior\u003c\/p\u003e  4.9 Reference priors\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e4.10 Improper Priors\u003c\/p\u003e  4.11 Transformations of Variables and Error Propagation\u003cp\u003e\u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5 Random Numbers and Monte Carlo Methods\u003c\/p\u003e  5.1 Pseudorandom Numbers\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5.2 Pseudorandom Generators Properties\u003c\/p\u003e  5.3 Uniform Random Number Generators\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5.4 Discrete Random Number Generators\u003c\/p\u003e  5.5 Nonuniform Random Number Generators\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5.6 Monte Carlo Sampling\u003c\/p\u003e  5.7 Numerical Integration with Monte Carlo Methods\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5.8 Markov Chain Monte Carlo\u003c\/p\u003e  References\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  6 Parameter Estimate\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.1 Introduction\u003c\/p\u003e  6.2 Inference\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.3 Parameters of Interest\u003c\/p\u003e  6.4 Nuisance Parameters\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.5 Measurements and Their Uncertainties\u003c\/p\u003e  6.6 Frequentist vs Bayesian Inference\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.7 Estimators\u003c\/p\u003e  6.8 Properties of Estimators\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.9 Binomial Distribution for Efficiency Estimate\u003c\/p\u003e  6.10 Maximum Likelihood Method\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.11 Errors with the Maximum Likelihood Method\u003c\/p\u003e  6.12 Minimum X^2 and Least-Squares Methods\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.13 Binned Data Samples\u003c\/p\u003e  6.14 Error Propagation\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e6.15 Treatment of Asymmetric Errors\u003c\/p\u003e  References\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e7 Combining Measurements\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e7.1 Introduction\u003c\/p\u003e\u003cp\u003e7.2 Simultaneous Fits and Control Regions\u003c\/p\u003e\u003cp\u003e7.3 Weighted Average\u003c\/p\u003e\u003cp\u003e7.4 X^2 in n Dimensions\u003c\/p\u003e\u003cp\u003e7.5 The Best Linear Unbiased Estimator\u003c\/p\u003e\u003cp\u003eReferences\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e8 Confidence Intervals\u003cp\u003e\u003c\/p\u003e\u003cp\u003e8.1 Introduction\u003c\/p\u003e8.2 Neyman Confidence Intervals\u003cp\u003e\u003c\/p\u003e\u003cp\u003e8.3 Binomial Intervals\u003c\/p\u003e8.4 The Flip-Flopping Problem\u003cp\u003e\u003c\/p\u003e\u003cp\u003e8.5 The Unified Feldman–Cousins Approach\u003c\/p\u003eReferences\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e9 Convolution and Unfolding\u003cp\u003e\u003c\/p\u003e\u003cp\u003e9.1 Introduction\u003c\/p\u003e9.2 Convolution\u003cp\u003e\u003c\/p\u003e\u003cp\u003e9.3 Unfolding by Inversion of the Response Matrix\u003c\/p\u003e9.4 Bin-by-Bin Correction Factors\u003cp\u003e\u003c\/p\u003e\u003cp\u003e9.5 Regularized Unfolding\u003c\/p\u003e9.6 Iterative Unfolding\u003cp\u003e\u003c\/p\u003e\u003cp\u003e9.7 Other Unfolding Methods\u003c\/p\u003e9.8 Software Implementations\u003cp\u003e\u003c\/p\u003e\u003cp\u003e9.9 Unfolding in More Dimensions\u003c\/p\u003eReferences\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e10 Hypothesis Tests\u003c\/p\u003e10.1 Introduction\u003cp\u003e\u003c\/p\u003e\u003cp\u003e10.2 Test Statistic\u003c\/p\u003e10.3 Type I and Type II Errors\u003cp\u003e\u003c\/p\u003e\u003cp\u003e10.4 Fisher’s Linear Discriminant\u003c\/p\u003e10.5 The Neyman–Pearson Lemma\u003cp\u003e\u003c\/p\u003e\u003cp\u003e10.6 Projective Likelihood Ratio Discriminant\u003c\/p\u003e10.7 Kolmogorov–Smirnov Test\u003cp\u003e\u003c\/p\u003e\u003cp\u003e10.8 Wilks’ Theorem\u003c\/p\u003e10.9 Likelihood Ratio in the Search for a New Signal\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReferences\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e11 Machine Learning\u003c\/p\u003e11.1 Supervised and Unsupervised Learning\u003cp\u003e\u003c\/p\u003e\u003cp\u003e11.2 Terminology\u003c\/p\u003e11.3 Machine Learning Classification from a Statistical Point of View\u003cp\u003e\u003c\/p\u003e\u003cp\u003e11.4 Bias-Variance tradeo\u003c\/p\u003e11.5 Overtraining\u003cp\u003e\u003c\/p\u003e\u003cp\u003e11.6 Artificial Neural Networks\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e11.7 Deep Learning\u003c\/p\u003e\u003cp\u003e11.8 Convolutional Neural Networks\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e11.9 Boosted Decision Trees\u003c\/p\u003e11.10 Multivariate Analysis Implementations\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReferences\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e12 Discoveries and Upper Limits\u003c\/p\u003e12.1 Searches for New Phenomena: Discovery and Upper Limits\u003cp\u003e\u003c\/p\u003e\u003cp\u003e12.2 Claiming a Discovery\u003c\/p\u003e12.3 Excluding a Signal Hypothesis\u003cp\u003e\u003c\/p\u003e\u003cp\u003e12.4 Combined Measurements and Likelihood Ratio\u003c\/p\u003e12.5 Definitions of Upper Limit\u003cp\u003e\u003c\/p\u003e\u003cp\u003e12.6 Bayesian Approach\u003c\/p\u003e12.7 Frequentist Upper Limits\u003cp\u003e\u003c\/p\u003e\u003cp\u003e12.8 Modified Frequentist Approach: the CLs Method\u003c\/p\u003e12.9 Presenting Upper Limits: the Brazil Plot\u003cp\u003e\u003c\/p\u003e\u003cp\u003e12.10 Nuisance Parameters and Systematic Uncertainties\u003c\/p\u003e12.11 Upper Limits Using the Profile Likelihood\u003cp\u003e\u003c\/p\u003e\u003cp\u003e12.12 Variations of the Profile-Likelihood Test Statistic\u003c\/p\u003e12.13 The Look Elsewhere Effect\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReferences\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e Index\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743075414359,"sku":"9783031199332","price":55.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031199332.jpg?v=1720064002"},{"product_id":"principles-of-classical-thermodynamics-applied-to-materials-science-9789813222687","title":"Principles Of Classical Thermodynamics: Applied","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe aim of this book is to present Classical Thermodynamics in a unified way, from the most fundamental principles to non-uniform systems, thereby requiring the introduction of coarse graining methods, leading for instance to phase field methods. Solutions thermodynamics and temperature-concentration phase diagrams are covered, plus also a brief introduction to statistical thermodynamics and topological disorder. The Landau theory is included along with a general treatment of multicomponent instabilities in various types of thermodynamic applications, including phase separation and order-disorder transitions. Nucleation theory and spinodal decomposition are presented as extreme cases of a single approach involving the all-important role of fluctuations.In this way, it is hoped that this coverage will reconcile in a unified manner techniques generally presented separately in physics and materials texts.","brand":"World Scientific Publishing Co Pte Ltd","offers":[{"title":"Default Title","offer_id":48743297089879,"sku":"9789813222687","price":81.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789813222687.jpg?v=1720064977"},{"product_id":"statistical-foundations-of-entropy-the-9789813234124","title":"Statistical Foundations Of Entropy, The","description":"\u003cp\u003eThis book presents an innovative unified approach to the statistical foundations of entropy and the fundamentals of equilibrium statistical mechanics. These intimately related subjects are often developed in a fragmented historical manner which obscures the essential simplicity of their logical structure. In contrast, this book critically reassesses and systematically reorganizes the basic concepts into a simpler sequential framework which reveals more clearly their logical relationships. The inherent indistinguishability of identical particles is emphasized, and the resulting unification of classical and quantum statistics is discussed in detail.The discussion is focused entirely on fundamental concepts, so applications are omitted. The book is written at the advanced undergraduate or beginning graduate level, and will be useful as a concise supplement to conventional books and courses in statistical mechanics, thermal physics, and thermodynamics. It is also suitable for self-study by those seeking a deeper and more detailed analysis of the fundamentals.\u003c\/p\u003e","brand":"World Scientific Publishing Co Pte Ltd","offers":[{"title":"Default Title","offer_id":48743297679703,"sku":"9789813234123","price":63.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789813234123.jpg?v=1720064979"},{"product_id":"thermodynamics-and-an-introduction-to-thermostatistics-9780471862567","title":"Thermodynamics and an Introduction to","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe only text to cover both thermodynamic and statistical mechanics----allowing students to fully master thermodynamics at the macroscopic level. Presents essential ideas on critical phenomena developed over the last decade in simple, qualitative terms.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eGENERAL PRINCIPLES OF CLASSICAL THERMODYNAMICS.\u003cbr\u003e \u003cbr\u003e The Problem and the Postulates.\u003cbr\u003e \u003cbr\u003e The Conditions of Equilibrium.\u003cbr\u003e \u003cbr\u003e Some Formal Relationships, and Sample Systems.\u003cbr\u003e \u003cbr\u003e Reversible Processes and the Maximum Work Theorem.\u003cbr\u003e \u003cbr\u003e Alternative Formulations and Legendre Transformations.\u003cbr\u003e \u003cbr\u003e The Extremum Principle in the Legendre Transformed Representations.\u003cbr\u003e \u003cbr\u003e Maxwell Relations.\u003cbr\u003e \u003cbr\u003e Stability of Thermodynamic Systems.\u003cbr\u003e \u003cbr\u003e First-Order Phase Transitions.\u003cbr\u003e \u003cbr\u003e Critical Phenomena.\u003cbr\u003e \u003cbr\u003e The Nernst Postulate.\u003cbr\u003e \u003cbr\u003e Summary of Principles for General Systems.\u003cbr\u003e \u003cbr\u003e Properties of Materials.\u003cbr\u003e \u003cbr\u003e Irreversible Thermodynamics.\u003cbr\u003e \u003cbr\u003e STATISTICAL MECHANICS.\u003cbr\u003e \u003cbr\u003e Statistical Mechanics in the Entropy Representation: The Microanonical Formalism.\u003cbr\u003e \u003cbr\u003e The Canonical Formalism;\u003cbr\u003e Statistical Mechanics in Helmholtz Representation.\u003cbr\u003e \u003cbr\u003e Entropy and Disorder;\u003cbr\u003e Generalized Canonical Formulations.\u003cbr\u003e \u003cbr\u003e Quantum Fluids.\u003cbr\u003e \u003cbr\u003e Fluctuations.\u003cbr\u003e \u003cbr\u003e Variational Properties, Perturbation Expansions, and Mean Field Theory.\u003cbr\u003e \u003cbr\u003e FOUNDATIONS.\u003cbr\u003e \u003cbr\u003e Postlude: Symmetry and the Conceptual Foundations of Thermostatistics.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e General References.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48864653377879,"sku":"9780471862567","price":205.16,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471862567.jpg?v=1722272909"},{"product_id":"statistical-physics-of-particles-9780521873420","title":"Statistical Physics of Particles","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eBased on lectures for a statistical mechanics course, this textbook introduces the central concepts and tools of statistical physics including solutions that are available to lecturers at www.cambridge.org\/9780521873420. A companion volume, discusses non-mean field aspects of scaling and critical phenomena, through the perspective of renormalization group.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'In this much-needed modern text, Kardar presents a remarkably clear view of statistical mechanics as a whole, revealing the relationships between different parts of this diverse subject. In two volumes, the classical beginnings of thermodynamics are connected smoothly to a thoroughly modern view of fluctuation effects, stochastic dynamics, and renormalization and scaling theory. Students will appreciate the precision and clarity in which difficult concepts are presented in generality and by example. I particularly like the wealth of interesting and instructive problems inspired by diverse phenomena throughout physics (and beyond!), which illustrate the power and broad applicability of statistical mechanics.' Leon Balents, University of California, Santa Barbara\u003cbr\u003e'Statistical Physics of Particles is the welcome result of an innovative and popular graduate course Kardar has been teaching at MIT for almost twenty years. It is a masterful account of the essentials of a subject which played a vital role in the development of twentieth century physics, not only surviving, but enriching the development of quantum mechanics. Its importance to science in the future can only increase with the rise of subjects such as quantitative biology. Statistical Physics of Fields builds on the foundation laid by the Statistical Physics of Particles, with an account of the revolutionary developments of the past 35 years, many of which were facilitated by renormalization group ideas. Much of the subject matter is inspired by problems in condensed matter physics, with a number of pioneering contributions originally due to Kardar himself. This lucid exposition should be of particular interest to theorists with backgrounds in field theory and statistical mechanics.' David R. Nelson, Harvard University\u003cbr\u003e'If Landau and Lifshitz were to prepare a new edition of their classic Statistical Physics text they might produce a book not unlike this gem by Mehran Kardar. Indeed, Kardar is an extremely rare scientist, being both brilliant in formalism and an astoundingly careful and thorough teacher. He demonstrates both aspects of his range of talents in this pair of books, which belong on the bookshelf of every serious student of theoretical statistical physics. Kardar does a particularly thorough job of explaining the subtleties of theoretical topics too new to have been included even in Landau and Lifshitz most recent Third Edition (1980), such as directed paths in random media and the dynamics of growing surfaces, which are not in any text to my knowledge. He also provides careful discussion of topics that do appear in most modern texts on theoretical statistical physics, such as scaling and renormalization group.' H. Eugene Stanley, Boston University\u003cbr\u003e'This is one of the most valuable textbook I have seen in a long time. Written by a leader in the field, it provides a crystal clear, elegant and comprehensive coverage of the field of statistical physics. I'm sure this book will become 'the' reference for the next generation of researchers, students and practitioners in statistical physics. I wish I had this book when I was a student but I will have the privilege to rely on it for my teaching.' Alessandro Vespignani, Indiana University\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Thermodynamics; 2. Probability; 3. Kinetic theory of gases; 4. Classical statistical mechanics; 5. Interacting particles; 6. Quantum statistical mechanics; 7. Ideal quantum gases; Solutions to selected problems; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48864977846615,"sku":"9780521873420","price":52.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780521873420.jpg?v=1722273388"},{"product_id":"stochastic-thermodynamics-9780691201771","title":"Stochastic Thermodynamics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":48865545388375,"sku":"9780691201771","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"dynamics-of-elementary-atomic-molecular-processes-in-gas-and-plasma-9781560721536","title":"Dynamics of Elementary Atomic-Molecular Processes","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis is a Nova Science Publication.","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886314697047,"sku":"9781560721536","price":138.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781560721536.jpg?v=1722539592"},{"product_id":"statistical-mechanics-random-walks-principles-processes-applications-9781614709664","title":"Statistical Mechanics \u0026 Random Walks: Principles,","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886861005143,"sku":"9781614709664","price":278.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781614709664.jpg?v=1722541910"},{"product_id":"networks-9780198805090","title":"Networks","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis is the definitive book on networks, friendly enough for anyone to read and serious enough for researchers to find their way. [Newman] is one of the founders and leaders of the field and has updated the book with cutting-edge topics. * Professor Cris Moore, Santa Fe Institute *\u003cbr\u003eThis is the definitive book on network science, by one of its most brilliant researchers and graceful expositors. The second edition of Mark Newman's Networks is clear, comprehensive, and fascinating. * Steven Strogatz, Department of Mathematics, Cornell University, USA *\u003cbr\u003eThis is an excellent textbook by one of the preeminent scholars in the study of networks. I draw heavily from it when teaching my undergraduate course on networks, and I am very pleased to see a new edition of the book. Newman's clear exposition shines through in this textbook. * Mason Porter, Department of Mathematics, UCLA, USA *\u003cbr\u003eAn extraordinarily comprehensive and clear exposition of network science from one of the giants in the field. Newman succeeds in making accessible to a broad readership even the most technical content. * Santo Fortunato, School of Informatics and Computing, Indiana University *\u003cbr\u003eReviews from previous edition:\u003cbr\u003eNetworks accomplishes two key goals: It provides a comprehensive introduction and presents the theoretic backbone of network science. [] The book is balanced in its presentation of theoretical concepts, computational techniques, and algorithms. The level of difficulty increases which each chapter [which] makes the book particularly valuable to physics students who wish to acquire a solid foundation based on their knowledge of basic linear algebra, calculus, and differential equations. * Physics Today *\u003cbr\u003eNewman has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occured in many fields, including mathematics, physics, computer science, biology, and the social sciences ... Overall, a valuable resource covering a wide-randing field. * Choice *\u003cbr\u003eLikely to become the standard introductory textbook for the study of networks [...] Overall, this is an excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students (particularly Parts 1 to 3) and as a roadmap for graduate students. [...] Being highly self-contained, computer scientists and professionals from other fields can also use the book - in fact, the author himself is a physicist. In short, this book is a delight for the inquisitive mind. * Computing Reviews *\u003cbr\u003eThis book brings together, for the first time, the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong connections between work in different subject areas. * CERN Courier *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Introduction Part I: The empirical study of networks 2: Technological networks 3: Networks of information 4: Social networks 5: Biological networks Part II: Fundamentals of network theory 6: Mathematics of networks 7: Measures and metrics 8: Computer algorithms 9: Network statistics and measurement error 10: The structure of real-world networks Part III:  Network models 11: Random graphs 12: The configuration model 13: Models of network formation Part IV: Applications 14: Community structure 15: Percolation and network resilience 16: Epidemics on networks 17: Dynamical systems on networks 18: Network search","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":49083399504215,"sku":"9780198805090","price":65.55,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198805090.jpg?v=1725548815"},{"product_id":"the-nature-of-computation-9780199233212","title":"The Nature of Computation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eComputational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology. But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactive proofs, phase transitions, and quantum computing are usually considered too advanced for the typical student. This book bridges these gaps by explaining the deep ideas of theoretical computer science in a clear and enjoyable fashion, making them accessible to non-computer scientists and to computer scientists who finally want to appreciate their field from a new point of view. The authors start with a lucid and playful explanation of the P vs. NP problem, explaining why it is so fundamental, and so hard to resolve. They then lead the reader through the complexity of mazes and games; optimization in theory and practice; randomized algorithms, interactive proofs, and pseudorandomness; Markov chains and phase transitions; and the outer reaches of quantum computing. At every turn, they use a minimum of formalism, providing explanations that are both deep and accessible. The book is intended for graduate and undergraduate students, scientists from other areas who have long wanted to understand this subject, and experts who want to fall in love with this field all over again.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA creative, insightful, and accessible introduction to the theory of computing, written with a keen eye toward the frontiers of the field and a vivid enthusiasm for the subject matter. * Jon Kleinberg, Cornell University *\u003cbr\u003eTo put it bluntly: this book rocks! It's 900+ pages of awesome. It somehow manages to combine the fun of a popular book with the intellectual heft of a textbook, so much so that I don't know what to call it (but whatever the genre is, there needs to be more of it!). * Scott Aaronson, Massachusetts Institute of Technology *\u003cbr\u003eMoore and Mertens guide the reader through the interesting field of computational complexity in a clear, broadly accessible and informal manner, while systematically explaining the main concepts and approaches in this area and the existing links to other disciplines. The book is comprehensive and can be easily used as a textbook, at both advanced undergraduate and postgraduate levels, but is equally useful for researchers in neighbouring disciplines, such as statistical physics [...]. Some of the material covered, such as approximability issues and Probabilistically Checkable Proofs is typically not presented in books of this type, and the authors do an excellent job in presenting them very clearly and convincingly. * David Saad, Aston University, Birmingham *\u003cbr\u003eA treasure trove of ideas, concepts and information on algorithms and complexity theory. Serious material presented in the most delightful manner! * Vijay Vazirani, Georgia Instituute of Technology *\u003cbr\u003eIn a class by itself - in The Nature of Computation, Cristopher Moore and Stephan Mertens have produced one of the most successful attempts to capture the broad scope and intellectual depth of theoretical computer science as it is practiced today. The Nature of Computation is one of those books you can open to a random page and find something amazing, surprising and, often, very funny. * American Scientist *\u003cbr\u003ea comprehensive, accessible, and highly enjoyable book that conveys the key intellectual contributions of the theory of computing ... a valuable resource for any educator * Haris Aziz, SIGACT *\u003cbr\u003eThe book is highly recommended for all interested readers: in or out of courses, students undergraduate or graduate, researchers in other fields eager to learn the subject, or scholars already in the field who wish to enrich their current understanding. It makes for a great textbook in a conventional theory of computing course, as I can testify from recent personal experience (I used it once; Ill use it again!). With its broad and deep wealth of information, it would be a top contender for one of my desert island books.TNoC speaks directly, clearly, convincingly, and entetainingly, but also goes much further: it inspires. * Frederic Green, SIGACT *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Prologue ; 2. The Basics ; 3. Insights and Algorithms ; 4. Needles in a Haystack: The class NP ; 5. Who is the Hardest One of All: NP-Completeness ; 6. The Deep Question: P vs. NP ; 7. Memory, Paths and games ; 8. Grand Unified Theory of Computation ; 9. Simply the Best: Optimization ; 10. The Power of Randomness ; 11. Random Walks and Rapid Mixing ; 12. Counting, Sampling, and Statistical Physics ; 13. When Formulas Freeze: Phase Transitions in Computation ; 14. Quantum Computing ; 15. Epilogue ; 16. Appendix: Mathematical Tools","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":49083405009239,"sku":"9780199233212","price":77.9,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780199233212.jpg?v=1725548835"},{"product_id":"quantum-field-theory-and-the-standard-model-9781107034730","title":"Quantum Field Theory and the Standard Model","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eProviding a modern introduction to quantum field theory, this comprehensive textbook develops the Standard Model of particle physics and explains state-of-the-art techniques for performing precision theoretical calculations. Intuitive physical discussions of abstract concepts make the subject accessible to students with a variety of backgrounds and interests.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This is an excellent graduate-level relativistic quantum field theory text, covering an impressive amount of material often with a very novel presentation. It would be ideal either for courses on relativistic quantum field theory or for courses on the Standard Model of elementary particle interactions. The book provides interesting insights and covers many modern topics not usually presented in current texts such as spinor-helicity methods and on-shell recursion relations, heavy quark effective theory and soft-collinear effective field theory. It is nice to see the modern point of view on the predictive power of non-renormalizable theories discussed. Once in a generation particle physicists elevate a quantum field theory text to the rank of classic. Two such classics are the texts by Bjorken and Drell and Peskin and Schroeder; it wouldn't surprise me if this new book by Schwartz joins this illustrious group.' Mark Wise, California Institute of Technology\u003cbr\u003e'A wonderful tour of quantum field theory from the modern perspective, filled with insights on both the conceptual underpinnings and the concrete, elegant calculational tools of the subject.' Nima Arkani-Hamed, Institute for Advanced Study, Princeton\u003cbr\u003e'Schwartz has produced a new and valuable introduction to quantum field theory. He has rethought the whole presentation of the subject, from the introductory and foundational concepts to new developments such as effective field theory descriptions of quark dynamics. Students will enjoy viewing quantum field theory from his perspective.' Michael E. Peskin, SLAC National Accelerator Laboratory, Stanford University\u003cbr\u003e'Schwartz's book grew out of a popular year long course in quantum field theory at Harvard. Designed primarily for graduate students, this course also attracts and inspires a number of undergraduates each year. The book is unique in its combination of breadth, depth and readability. Schwartz starts at the beginning of the subject and brings us right up to the present. That the book is neither superficial nor impossibly dense is rather remarkable and makes it easy to understand the course's success.' Howard Georgi, Harvard University\u003cbr\u003e'In this book, Schwartz gives a thoughtful and modern treatment of many classical and contemporary topics. Students and experienced researchers will find much here of value.' Edward Witten, Institute for Advanced Study, Princeton\u003cbr\u003e'Every single one of these pages is packed with information. … this book grew out of lectures Schwartz has given to graduate students at Harvard, and it becomes very clear that he is well aware of possible pitfalls and problems of understanding that students may have. … The first part of the book should be accessible for beginning graduate students who have mastered quantum mechanics, special relativity and electrodynamics. The second part of the book will also be useful for advanced students and researchers who want to learn how to perform calculations in the standard model. … Schwartz has done a great job in presenting his view on this complex matter, and I wish this book had already existed when I learned the subject! I recommend it to anyone dedicated to learning quantum field theory and the physics of the standard model.' Thomas Peters, Contemporary Physics\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I. Field Theory: 1. Microscopic theory of radiation; 2. Lorentz invariance and second quantization; 3. Classical Field Theory; 4. Old-fashioned perturbation theory; 5. Cross sections and decay rates; 6. The S-matrix and time-ordered products; 7. Feynman rules; Part II. Quantum Electrodynamics: 8. Spin 1 and gauge invariance; 9. Scalar QED; 10. Spinors; 11. Spinor solutions and CPT; 12. Spin and statistics; 13. Quantum electrodynamics; 14. Path integrals; Part III. Renormalization: 15. The Casimir effect; 16. Vacuum polarization; 17. The anomalous magnetic moment; 18. Mass renormalization; 19. Renormalized perturbation theory; 20. Infrared divergences; 21. Renormalizability; 22. Non-renormalizable theories; 23. The renormalization group; 24. Implications of Unitarity; Part IV. The Standard Model: 25. Yang–Mills theory; 26. Quantum Yang-Mills theory; 27. Gluon scattering and the spinor-helicity formalism; 28. Spontaneous symmetry breaking; 29. Weak interactions; 30. Anomalies; 31. Precision tests of the standard model; 32. QCD and the parton model; Part V. Advanced Topics: 33. Effective actions and Schwinger proper time; 34. Background fields; 35. Heavy-quark physics; 36. Jets and effective field theory; Appendices; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":49083821162839,"sku":"9781107034730","price":64.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781107034730.jpg?v=1725550123"},{"product_id":"a-first-course-in-network-science-9781108471138","title":"A First Course in Network Science","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eNetworks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students'' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'A First Course in Network Science by Menczer, Fortunato, and Davis is an easy-to-follow introduction into network science. An accessible text by some of the best-known practitioners of the field, offering a wonderful place to start one's journey into this fascinating field, and its potential applications.' Albert-László Barabási, Dodge Distinguished Professor of Network Science, Northeastern University\u003cbr\u003e'… this textbook has finally allowed me to teach the ideal intro courses on network science, of interest to computer scientists as well as mathematicians, statisticians, economists, sociologists, and physicists.' Giancarlo Ruffo, Associate Professor of Computer Science, University of Torino\u003cbr\u003e'The book by Menczer, Fortunato, and Davis, A First Course in Network Science, is an amazing tour de force in bringing network science concepts to the layman. It is an extraordinary book with which to start thinking about networks that nowadays represent the linchpins of our world.' Alex Arenas, Universidad Rovira i Virgili\u003cbr\u003e'Buckle up! This book bounds ahead of the curve in teaching network science. Without formalism, but with remarkable clarity and insight, the authors use experiential learning to animate concepts, captivate students, and deliver skills for analyzing and simulating network data. This book will not only make students smarter, they will feel and act smarter.' Brian Uzzi, Northwestern University\u003cbr\u003e'If you are looking for a sophisticated yet introductory book on network analysis from a network science perspective, look no further. This is an excellent introduction that is also eminently practical, integrating exactly the right set of tools. I highly recommend it.' Stephen Borgatti, University of Kentucky\u003cbr\u003e'This is a book that truly takes in hand students from all backgrounds to discover the power of network science. It guides the readers through the basic concepts needed to enter the field, while providing at the same time the necessary programming rudiments and tools. Rigorous, albeit very accessible, this book is the ideal starting point for any student fascinated by the emerging field of network science.' Alessandro Vespignani, Northeastern University\u003cbr\u003e'We cannot make sense of the world without learning about networks. This comprehensive and yet accessible text is an essential resource for all interested in mastering the basics of network science. Indispensable for undergraduate and graduate education, the book is also a much-needed primer for researchers across the many disciplines where networks are on the rise.' Olaf Sporns, Indiana University\u003cbr\u003e'This is a timely book that comes from authorities in the field of Complex Networks. The book is very well written and represents the state of the art of research in the field. For these reasons, it represents both a reference guide for experts and a great textbook for the students.' Guido Caldarelli, Scuola IMT Alti Studi Lucca\u003cbr\u003e'Should be titled the 'Joy of Networks', clearly conveys the fun and power of the science of networks, while providing extensive hands-on exercises with network data.' David Lazer, University Distinguished Professor of Political Science and Computer and Information Science, Northeastern University\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Introduction; 1. Network elements; 2. Small worlds; 3. Hubs; 4. Directions and weights; 5. Network models; 6. Communities; 7. Dynamics; Appendix A. Python tutorial; Appendix B. NetLogo models; Bibliography; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":49083829322071,"sku":"9781108471138","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"thermal-and-statistical-physics-9781906574758","title":"Thermal and Statistical Physics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"New Academic Science Ltd","offers":[{"title":"Default Title","offer_id":49084602974551,"sku":"9781906574758","price":33.25,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781906574758.jpg?v=1725552733"},{"product_id":"statistical-physics-for-biological-matter-9789402415834","title":"Statistical Physics for  Biological Matter","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book aims to cover a broad range of topics in statistical physics, including statistical mechanics (equilibrium and non-equilibrium), soft matter and fluid physics, for applications to biological phenomena at both cellular and macromolecular levels. It is intended to be a graduate level textbook, but can also be addressed to the interested senior level undergraduate. The book is written also for those involved in research on biological systems or soft matter based on physics, particularly on statistical physics.\u003c\/p\u003e\u003cp\u003eTypical statistical physics courses cover ideal gases (classical and quantum) and interacting units of simple structures. In contrast, even simple biological fluids are solutions of macromolecules, the structures of which are very complex. The goal of this book to fill this wide gap by providing appropriate content as well as by explaining the theoretical method that typifies good modeling, namely, the method of coarse-grained descriptions that extract the most salient features emerging at mesoscopic scales. The major topics covered in this book include thermodynamics, equilibrium statistical mechanics, soft matter physics of polymers and membranes, non-equilibrium statistical physics covering stochastic processes, transport phenomena and hydrodynamics.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003eGeneric methods and theories are described with detailed derivations, followed by applications and examples in biology. The book aims to help the readers build, systematically and coherently through basic principles, their own understanding of nonspecific concepts and theoretical methods, which they may be able to apply to a broader class of biological problems.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction : Biological Systems, and Physical ApproachesBring Physics to Life, Bring Life to Physics. Part A: Equilibrium Structures and Properties. 2. Basic Concepts of Relevant Thermodynamics. 2.1 The First Law and Thermodynamic Potentials. 2.2 The Second Law and Thermodynamic Variational Principles. 3. Basic Methods of Equilibrium Statistical Physics. 3.1 Boltzmann’s Entropy and Probability, Microcanonical Ensemble Theory. 3.2 Canonical Ensemble Theory. 3.3 The Gibbs Canonical Ensemble. 3.4 Grand Canonical Ensemble Theory. 4. Statistical Mechanics of Fluids and Solutions. 4.1 Phase-space Description of Fluids. 4.2 Fluids of Non-interacting Particles. 4.3 Fluids of Interacting Particles. 4.4 Extension to Solutions: Coarse-grained Descriptions. 5. The Coarse-grained Descriptions for Biological Complexes. 6. Water and Weak Electrostatic Interactions. 6.1 Thermodynamic Properties of Water. 6.2 The Interactions in Water. 6.3 Screened Coulomb Interaction. 7. Law of Chemical Forces: Transitions, Reactions and Self-assembly. 7.1 Law of Mass Action (LMA). 7.2 Self-Assembly. 8. Lattice and Ising Models. 8.1 Adsorption and Aggregation of Molecules. 8.2 Binary Mixtures. 8.3 1-D Ising Model and Applications. 9. Response, Fluctuations, Correlations, and Scatterings. 9.1 Linear Responses and Fluctuations: Fluctuation-Response Theorem. 9.2 Scatterings, Fluctuations, and Structures of Matter. 10. Mesoscopic model for Polymers: Flexible Chains. 10.1 Random Walk Model for a Flexible Chain. 10.2 A Flexible Chain under External Fields and Confinements. 10.3 Effects of Segmental Interactions. 10.4 Scaling Theory. 11. Mesoscopic model for Polymers: Semi-flexible Chain Model and Polyelectrolytes. 11.1 Worm-like chain model. 11.2 Fluctuations in nearly straight semi-flexible chains and the force-extension relation. 11.3 Polyelecrolytes. 12. Membranes and Elastic Surfaces. 12.1 Membrane Self-assembly and Transition. 12.2 Mesoscopic Model for Elastic Energies and Shapes. 12.3 Effects of Thermal Undulations. Part B: Non-equilibrium Phenomena. 13.Brownian Motions. 13.1 Brownian Motion\/Diffusion Equation Theory. 13.2 Diffusive Transport in Cells. 13.3 Brownian Motion\/Langevin Equation Theory. 14. Stochastic Processes, Markov Chains and Master Equations. 14.1 Markov Processes. 14.2 Master Equation. 15. Theory of Markov Processes \u0026amp; The Fokker-Planck Equations. 15.1 Fokker-Planck Equation (FPE). 15.2 The Langevin and Fokker-Planck Equations from Phenomenology and Effective Hamiltonian. 15.3 Solutions of Fokker-Planck Equations, Transition Probabilities and Correlation Functions. 16. The Mean-First Passage Times and Barrier Crossing Rates. 16.1 First Passage Time and Applications. 16.2 Rate Theory: Flux-over Population Method. 17. Dynamic Linear Responses and Time Correlation Functions. 17.1 Time-dependent Linear Response Theory. 17.2 Applications of the Fluctuation–dissipation Theorem. 18. Noise-induced Resonances: Stochastic Resonance and Resonant Activation, and Stochastic Ratchet. 18.1 Stochastic Resonance. 18.2 Resonant Activation (RA) and Stochastic Ratchet. 18.3 Stochastic ratchet. 19. Transport Phenomena and Fluid Dynamics. 19.1 Hydrodynamic Transport Equations. 19.2 Dynamics of Viscous Flow. 20. Dynamics of Polymers and Membranes in Fluids. 20.1 Dynamics of Flexible Polymers. 20.2 Dynamics of a Semiflexible Chain. 20.3 Dynamics of Membrane Undulation. 20.4 A Unified View. 21. Epilogue.\u003cbr\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":49084919742807,"sku":"9789402415834","price":67.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789402415834.jpg?v=1725553748"},{"product_id":"percolation-theory-using-python-9783031598999","title":"Percolation Theory Using Python","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction to Percolation.- One-dimensional Percolation.- Infinite-dimensional Percolation.- Finite-dimensional Percolation.- Geometry of Clusters.-  Finite Size Scaling.- Renormalization.- Subset Geometry.- Flow in Disordered Media.- Elastic Properties of Disordered Media.- Diffusion in Disordered Media.- Dynamic Processes in Disordered Media.- References.- Index.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":49372691759447,"sku":"9783031598999","price":33.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031598999.jpg?v=1730163827"},{"product_id":"ordering-and-phase-transitions-in-charged-colloids-9780471186304","title":"Ordering and Phase Transitions in Charged","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e* Physical chemists will find this book comprehensive. Topical reviews on all aspects of colloidal ordering and related phase transitions will be covered. It provides a good blend of experimental and theoretical investigations.    * Useful to materials scientists and chemical engineers, the book includes a discussion of stability, important from the point of view of applications of colloidal crystals.    * Physicists will be interested in the book, because it highlights the controversy over effective interparticle interaction in charged colloids.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eFrom the Contents:\u003cbr\u003e Interaction, Ordering and Phase Transitions in Charged Colloids: An Introduction\/\u003cbr\u003e Video-Microscopic and X-Ray Scattering Studies of Colloidal Dispersions\/\u003cbr\u003e Direct Imaging of the Local Dynamics of Colloidal Phase Transitions\/\u003cbr\u003e Kinetics of Colloidal Crystallization\/\u003cbr\u003e Kossel-Line Analysis for Colloidal Crystal Growth\/\u003cbr\u003e Photothermal Stability of Colloidal Crystals\/\u003cbr\u003e Order-Disorder Transition in Charged Polydisperse Colloids\/\u003cbr\u003e Vapor-Liquid Condensation and Reentrant Transition in Charged Colloids\/\u003cbr\u003e Theory of Interactions in Charged Colloids\/\u003cbr\u003e Liquid-Solid Transition in Colloidal Suspensions with and without External Emodulations: Density Functional Theory\/\u003cbr\u003e Dynamics of Charged Colloidal Suspensions Across the Freezing and Glass Transition\/\u003cbr\u003e Determination of Interaction Forces in Colloids: Direct and Indirect Methods.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402518995287,"sku":"9780471186304","price":305.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471186304.jpg?v=1730480637"},{"product_id":"modes-of-parametric-statistical-inference-9780471667261","title":"Modes of Parametric Statistical Inference","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA fascinating investigation into the foundations of statistical inference  This publication examines the distinct philosophical foundations of different statistical modes of parametric inference.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"…a terrific resource for students preparing for comprehensive exams and wanting to expand their understanding of statistical inference.\" (\u003ci\u003eBiometrics\u003c\/i\u003e, September 2007)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eForeword.  \u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003e1. A Forerunner.\u003c\/p\u003e \u003cp\u003e2. Frequentist Analysis.\u003c\/p\u003e \u003cp\u003e3. Likelihood.\u003c\/p\u003e \u003cp\u003e4. Testing Hypotheses.\u003c\/p\u003e \u003cp\u003e5. Unbiased and Invariant Tests.\u003c\/p\u003e \u003cp\u003e6. Elements of Bayesianism.\u003c\/p\u003e \u003cp\u003e7. Theories of Estimation.\u003c\/p\u003e \u003cp\u003e8. Set and Interval Estimation.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402650558807,"sku":"9780471667261","price":110.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471667261.jpg?v=1730481114"},{"product_id":"college-physics-essentials-eighth-edition-twovolume-set-9780815355465","title":"College Physics Essentials Eighth Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":49405925163351,"sku":"9780815355465","price":230.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780815355465.jpg?v=1730493927"},{"product_id":"college-physics-essentials-eighth-edition-9781138476080","title":"College Physics Essentials Eighth Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis new edition of College Physics Essentials provides a streamlined update of a major textbook for algebra-based physics. This is the second volume covers electricity, atomic, nuclear, and quantum physics. The first volume is available separately and covers topics such as mechanics, heat, and thermodynamics. The authors provide emphasis on worked examples together with expanded problem sets that build from conceptual understanding to numerical solutions and real-world applications to increase reader engagement. Including over 900 images throughout the two volumes, this textbook is highly recommended for students seeking a basic understanding of key physics concepts and how to apply them to real problems. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e15. Electric Charge, Forces, and Fields. 16. Electrical Potential, Energy, and Capacitance. 17. Electric Current and Resistance. 18. Basic Electric Circuits. 19. Magnetism. 20. Electromagnetic Induction and Waves. 21. AC Circuits. 22. Reflection and Refraction of Light. 23. Mirrors and Lenses. 24. Physical Optics: The Wave Nature of Light. 25. Vision and Optical Instruments. 26. Relativity. 27. Quantum Physics. 28. Quantum Mechanics and Atomic Physics. 29. The Nucleus. 30. Nuclear Reactions and Elementary Particles.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":49407220875607,"sku":"9781138476080","price":120.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781138476080.jpg?v=1730498619"},{"product_id":"a-random-walk-in-physics-beyond-black-holes-and-time-travels-9783030725334","title":"A Random Walk in Physics: Beyond Black Holes and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book offers an informal, easy-to-understand account of topics in modern physics and mathematics. The focus is, in particular, on statistical mechanics, soft matter, probability, chaos, complexity, and models, as well as their interplay. The book features 28 key entries and it is carefully structured so as to allow readers to pursue different paths that reflect their interests and priorities, thereby avoiding an excessively systematic presentation that might stifle interest. While the majority of the entries concern specific topics and arguments, some relate to important protagonists of science, highlighting and explaining their contributions. Advanced mathematics is avoided, and formulas are introduced in only a few cases. The book is a user-friendly tool that nevertheless avoids scientific compromise. It is of interest to all who seek a better grasp of the world that surrounds us and of the ideas that have changed our perceptions.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“Each topic is discussed in a brief chapter, at a technical level that could be followed by first-year students of physics and mathematics, but also by wider parts of the public. Each chapter contains a statement of the topic, a brief history, and describes a number of examples … . The book makes a pleasant reading, full of wit and of surprising turns. I think that it can be useful to the general reader … motivate students … .” (Luca Peliti, Journal of Statistical Physics, Vol. 185, 2021)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1 - Introduction.- Chapter 2 - Atoms, Irreversibility, Probability, Statistical Mechanics, Entropy.- Chapter 3 - Probability, Entropy, Chaos.- Chapter 4 - Chaos, Prediction.- Chapter 5 - Prediction, Turbulence, Models.- Chapter 6 - Models, Richardson.- Chapter 7 - Boltzmann, Statistical Mechanics, Brownian Motion.- Chapter 8 - Boltzmann, Atoms, Statistical Mechanics, Mesoscale Systems.- Chapter 9 - Prediction: Chaos, Poincaré, Richardson, Models, Big data.- Chapter 10 - Statistical Mechanics: Atoms, Boltzmann, Maxwell.\u003cbr\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415631929687,"sku":"9783030725334","price":26.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030725334.jpg?v=1730527585"},{"product_id":"thermal-and-statistical-physics-concepts-and-applications-9783031076879","title":"Thermal and Statistical Physics: Concepts and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis textbook presents the fundamental concepts and theories in thermal physics and elementary statistical mechanics in a very simple, systematic and comprehensive way. This book is written in a way that it presents the topics in a holistic manner with end-of-chapter exercises and examples where concepts are supported by numerous solved examples and multiple-choice questions to aid self-learning. The textbook also contains illustrated diagrams for better understanding of the concepts. 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It focuses on interconnects between physics and detector technology in experimental particle physics, and includes descriptions of mathematical approaches. Readers find all the important steps in analysis, including reconstruction of the momentum and energy of particles from detector information, particle identification, and also the general concept of simulating particle production from collisions and detector responses. \u003c\/p\u003e\u003cp\u003eAs the scale of scientific experiments becomes larger and data-intensive science emerges, the techniques used in the data analysis become ever more complicated, making it difficult for beginners to grasp the overall picture. The book provides an explanation of the idea and concepts behind the methods, helping readers understand journal articles on high energy physics. \u003c\/p\u003e\u003cp\u003eThis book is engaging as it does not overemphasize mathematical formalism and it gives a lively example of how such methods have been applied to the Higgs particle discovery in the Large Hadron Collider (LHC) experiments, which led to Englert and Higgs being awarded the Nobel Prize in Physics for 2013.\u003c\/p\u003e\u003cp\u003eGraduate students and young researchers can easily obtain the required knowledge on how to start data analyses from these notes, without having to spend time in consulting many experts or digesting huge amounts of literature.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Basic Idea of Measurements in Particle Collisions.- Apparatus.-  Statistics.- Detector Calibration.- Particle Identification.- Event Simulation.- Examples of Physics Analysis.","brand":"Springer Verlag, Japan","offers":[{"title":"Default Title","offer_id":49426223956311,"sku":"9784431569299","price":47.92,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9784431569299.jpg?v=1730560563"},{"product_id":"note-di-fisica-statistica-9788847019645","title":"Note di fisica statistica","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIl testo si configura come un' introduzione alla fisica statistica rivolto in primo luogo a quei corsi di studio in ingegneria che più hanno a che fare con le proprietà fisiche dei materiali, ed ha lo scopo di fornire  le basi microscopiche del comportamento termodinamico di cui si fa uso sia in molti corsi tradizionali, quali quelli di termofluidica d'interesse per l'ingegneria chimica e nucleare, che in corsi rivolti ad applicazioni avanzate nella scienza dei materiali e nelle nanotecnologie. Particolare attenzione viene quindi dedicata all'impiego di metodi di fisica statistica nella scienza dei materiali, approfondendo tematiche relative alle vibrazioni nei solidi, ai processi di nucleazione liquido\/vapore, alla struttura dello stato fluido e vetroso, ai plasmi, ai materiali magnetici, al gas di Fermi e alla superfluidità. Per il suo carattere generale, e per l'accento posto sui fondamenti della meccanica quantistica, il volume si presta comunque a costituire anche un testo introduttivo alla meccanica statistica per studenti dei corsi di laurea in fisica.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e\u003cp\u003e“The book covers the main typical arguments of a course on statistical physics and thermodynamics in the Italian university system. … the author intends to transmit to the readers: the subject of statistical physics is not only useful, but is also far to be boring and can reveal an intrinsic beauty. Also, the style of writing the different chapters reveals the intention of the author to give a pleasant environment for the study of the subject.” (Francesco Salvarani, Zentralblatt MATH, Vol. 1241, 2012)\u003c\/p\u003e","brand":"Springer Verlag","offers":[{"title":"Default Title","offer_id":49427378045271,"sku":"9788847019645","price":49.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9788847019645.jpg?v=1730564339"},{"product_id":"electrostatics-of-soft-and-disordered-matter-9789814411851","title":"Electrostatics of Soft and Disordered Matter","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eRecently, there has been a surge of activity to elucidate the behavior of highly charged soft matter and Coulomb fluids in general. Such systems are ubiquitous, especially in biological matter where the length scale and the strength of the interaction between highly charged biomolecules are governed by strong electrostatic effects. Several interesting limits have been discovered in the parameter space of highly charged many-particle Coulomb matter where analytical progress is possible and completely novel and unexpected results have been obtained. One of the challenges in highly charged matter is to correctly describe systems with finite coupling strength in the transition regime between weak and strong couplings. After studying the fluctuations of both, several theories have been developed that describe this experimentally highly relevant regime. At the same time, computer simulation algorithms and computing power have advanced to the level where all-ion simulations, including many-body and polarization effects, are possible; the new theories thus can be subjected to numerical confirmation. Another important question is the effect of the structural disorder on electrostatic interactions. It has recently been demonstrated, both theoretically and experimentally, that charge disorder can impose long-range interaction between charged or even uncharged surfaces. These interactions might become very significant in biological processes. \u003c\/p\u003e\u003cp\u003eFilling a void in the literature, this volume cross-pollinates different theoretical and simulation approaches with new experiments and ties together the low temperature, high coupling constant, and disorder parameters in a unified description of the electrostatic interactions, which largely determine the stability and conformations of most important biological macromolecules.\u003c\/p\u003e\u003cp\u003eWith striking graphical illustrations, the book presents a unified view of the current advances in the field of Coulomb (bio)colloidal systems, building on previous literature that summarized the field over 20 years ago. Leading scientists in the field offer a detailed introduction to different modern methods in statistical physics of Coulomb systems. They detail various approaches to elucidate the behavior of strongly charged soft matter. They also provide experimental and theoretical descriptions of disorder effects in Coulomb systems, which have not been discussed in any other book. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003ci\u003e\"This is a timely and illuminating volume, reviewing the state of the art of Coulombic fluids, and shedding some light on the counter-intuitive phenomena that emerge from Coulombic interactions. The book is in particular interesting because it reviews the fundamental role played by Coulombic interactions when macromolecules are dissolved in an aqueous milieu. An up-to-date introduction of the subject as well as advanced topics that will be welcome by students and researchers alike.\"\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eProf. David Andelman, Tel Aviv University, Israel\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eSurprising Challenges. Dielectric Profiles and Ion-Specific Effects at Aqueous Interfaces. Coulomb interactions between Disordered Charge Distributions. Coarse-Grained Modeling of Charged Colloidal Suspensions: From Poisson-Boltzmann Theory to Effective Interactions. Dynamic Electric Response of Charged Fibrous Virus (fd) Suspensions: Interactions of Charged Colloidal Rods in AC Electric Fields. Many-Body Interactions in Volloidal Suspensions. Modeling DNA in Nanopores. Aspects of 1D Coulomb Gases. Hydration Repulsion between Polar Surfaces: An Atomistic Simulation Approach. Electrostatics in Electrolytes Expressed in an Exact Formalism Reminiscent of the Poisson-Boltzmann Picture. Interaction between Disordered Heterogeneous Charged Surfaces. Polarizable Surfaces: Weak and Strong Coupling Regimes. A Field Theory Approach for Modeling Electrostatic Interactions in Soft Matter. Legendre Transforms for Electrostatic Energies. Short-Range Disorder and Electrostatic Interactions in Macromolecules. Mean-Field Electrostatics of Still Rod-Like Ions. Extended Poisson–Boltzmann Descriptions of the Electrostatic Double Layer: Implications for Charged Particles at Interfaces. Modeling Electrokinetics through Varying Length and Time Scales. Physics of Counterion Mediated Attractions between Double-Stranded DNAs. Estimation of Solvation Electrostatic Free Energy of Biomolecular Systems by Numerical Solution of the Poisson-Boltzmann Equation. The Electrode-Ionic Liquid Interface: A Molecular Point of View. The Wigner Strong-Coupling Approach. Ionic Liquids and Ionic Liquid+Solvent Mixtures, Studied by Classical Density Functional Theory. Controlling the Fluid-Fluid Mixing-Demixing Phase Transition with Electric Fields. Statistical Thermodynamics of Supercapacitors and Blue Engines. Cluster Phases in Colloids and Proteins. Moderately Coupled Charged Fluids near Dielectric Interfaces and in Confinement. \u003c\/p\u003e","brand":"Pan Stanford Publishing Pte Ltd","offers":[{"title":"Default Title","offer_id":49427861799255,"sku":"9789814411851","price":109.25,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789814411851.jpg?v=1730565931"},{"product_id":"grundkurs-theoretische-physik-6-statistische-physik-9783642253928","title":"Grundkurs Theoretische Physik 6: Statistische","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDer Grundkurs Theoretische Physik deckt in 7 Bänden alle für das Diplom und für Bachelor\/Master-Studiengänge maßgeblichen Gebiete ab. Jeder Band vermittelt das im jeweiligen Semester notwendige theoretisch-physikalische Rüstzeug. Übungsaufgaben mit ausführlichen Lösungen dienen der Vertiefung des Stoffs. Der 6. Band zur Statistischen Physik wurde für die Neuauflage grundlegend überarbeitet und um aktuelle Entwicklungen ergänzt. Durch die zweifarbige Gestaltung ist der Stoff jetzt noch übersichtlicher gegliedert.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eKlassische statistische Physik.- Quantenstatistik.- Quantengase.- Phasenübergänge.- Lösungen der Übungsaufgaben.","brand":"Springer Fachmedien Wiesbaden","offers":[{"title":"Default Title","offer_id":49537952809303,"sku":"9783642253928","price":47.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783642253928.jpg?v=1731908580"},{"product_id":"uncovering-quantum-field-theory-and-the-standard-model-9781108472333","title":"Uncovering Quantum Field Theory and the Standard","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":49989941363031,"sku":"9781108472333","price":56.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"string-field-theory-a-modern-introduction-9783030653200","title":"String Field Theory: A Modern Introduction","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis textbook provides an introduction to string field theory (SFT). String theory is usually formulated in the worldsheet formalism, which describes a single string (first-quantization). While this approach is intuitive and could be pushed far due to the exceptional properties of two-dimensional theories, it becomes cumbersome for some questions or even fails at a more fundamental level. These motivations have led to the development of SFT, a description of string theory using the field theory formalism (second-quantization). As a field theory, SFT provides a rigorous and constructive formulation of string theory.\u003c\/p\u003e  \u003cp\u003eThe main focus of the book is the construction of the closed bosonic SFT. The accent is put on providing the reader with the foundations, conceptual understanding and intuition of what SFT is. After reading this book, the reader is able to study the applications from the literature. The book is organized in two parts. The first part reviews the notions of the worldsheet theory that are necessary to build SFT (worldsheet path integral, CFT and BRST quantization). The second part starts by introducing general concepts of SFT from the BRST quantization. Then, it introduces off-shell string amplitudes before providing a Feynman diagrams interpretation from which the building blocks of SFT are extracted. After constructing the closed SFT, the author outlines the proofs of several important properties such as background independence, unitarity and crossing symmetry. Finally, the generalization to the superstring is also discussed.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“The book under review offers a comprehensive self-contained description of string field theory (SFT) and the tools necessary to build it. … For each chapter the author has collected the most relevant references. This, together with various examples, figures, remarks and, especially, a suitable amount of details, has produced a compulsively readable textbook quite useful for students and newcomers. … The last version of the draft of the book can be accessed on the author's professional web page.” (Farhang Loran, Mathematical Reviews, April, 2022)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Worldsheet path integral: vacuum amplitudes.- Worldsheet path integral: scattering amplitudes.- Worldsheet path integral: complex coordinates.- Conformal field theory in D dimensions.- Conformal field theory on the plane.- CFT systems.- BRST quantization.- String field.- Free BRST string field theory.- Introduction to off-shell string theory.- Geometry of moduli spaces and Riemann surfaces.- Off-shell amplitudes.-Amplitude factorization and Feynman diagrams.- Closed string field theory.- Background independence.- Superstring.- Momentum-space SFT.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":50578714231127,"sku":"9783030653200","price":44.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"quantum-information-omsp-p-9780198527633","title":"QUANTUM INFORMATION OMSP P","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eQuantum information- the subject- is a new and exciting area of science, which brings together physics, information theory, computer science and mathematics. Quantum Information- the book- is based on two successful lecture courses given to advanced undergraduate and beginning postgraduate students in physics. The intention is to introduce readers at this level to the fundamental, but offer rather simple, ideas behind ground-breaking developments including quantum cryptography, teleportation and quantum computing. The text is necessarily rather mathematical in style, but the mathematics nowhere allowed priority over the key physical ideas. My aim throughout was to be as complete and self- contained but to avoid, as far as possible, lengthy and formal mathematical proofs. Each of the eight chapters is followed by about forty exercise problems with which the reader can test their understanding and hone their skills. These will also provide a valuable resource to tutors and lectures.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis is an excellent introductory book, ideal for a final year UK undergraduate course in QI. It is the best one I have found so far and provides an excellent grounding for more advanced books like Nielsen and Chuang for example * Professor David Toms, Newcastle University *\u003cbr\u003eStephen Barnett's Quantum Information is a concise and remarkably readable account of most of the developments in the field. His book touches on almost all aspects of quantum information and quantum computing, including communication and measurement theory, entanglement, and computing algorithms. An impressive book...The engaging introductory chapters, extensive problem sets, and exhaustive appendices result in a textbook highly recommended for a one-semester course on quantum information at the advanced undergraduate or graduate level. * Physics Today *\u003cbr\u003eA carefully written book..., well suited as a textbook..., strong on pedagogy..., accomplishes a lot as a very accessible first introduction to quantum information. * American Journal of Physics *\u003cbr\u003e...an impressive book. The engaging introductory chapters, extensive problems sets, and exhaustive appendices result in a textbook that I highly recommend for a one-semester course on quantum information at the advanced undergraduate or graduate level. * M. Suhail Zubairy, Physics Today *\u003cbr\u003eA nice introduction to quantum information. * Mathematical Reviews *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Probability and Information ; 2. Elements of Quantum Theory ; 3. Quantum Cryptography ; 4. Generalized Measurements ; 5. Entaglement ; 6. Quantum Information processing ; 7. Quantum Computation ; 8. Quantum Information theory","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":51017617572183,"sku":"9780198527633","price":37.04,"currency_code":"GBP","in_stock":true}]},{"product_id":"snow-avalanches-beliefs-facts-and-science-9780198866930","title":"Snow Avalanches Beliefs Facts and Science","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides a critical update of the most recent and innovative developments of avalanche science. It aims at re-founding avalanche science on clear scientific bases, from field observations and experiments up to mathematical and physical analysis and modeling. In this respect, it stands in a still unoccupied but fundamental niche amidst the abundant avalanche literature.In the current context of a accelerated climate warming, the book also discusses possible evolutions of snow cover extent and stability. It also shows how the present analysis can be extended, in mountainous areas, to other gravitationally induced phenomena that are likely to take over from avalanches under specific circumstances.The text is supported by online links to field experiments and lectures on triggering mechanisms, risk management, and decision making.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eProvides the best overall understanding of avalanche science in the most practical way. * Henry Schniewind, Director of Henry's Avalanche Talk (HAT), London and Val d'Isère *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eINTRODUCTION SNOW, AN INTRIGUING, COMPLEX AND CHANGEABLE SOLID 2.1: From ice to snow 2.2: Snow crystals 2.3: From snowfalls to snow layers 2.4: Snow as a granular medium 2.5: Snow as a porous medium: the concept of percolation BASICS OF DEFORMATION, FRACTURE AND FRICTION PROCESSES 3.1: Deformation of solids 3.2: Fracture initiation and extension 3.3: Griffith's criterion 3.4: The brittle to ductile transition 3.5: Coulomb's law of friction SLAB AVALANCHE RELEASE: DATA AND FIELD EXPERIMENTS 4.1: Geometry and dynamical characteristics 4.2: Statistical aspects: scale invariance 4.3: The weak layer, starting point for slab avalanche release 4.4: Stability and Bridging indexes SLAB AVALANCHE MODELING 5.1: Old myths and beliefs to shoot down 5.2: Basis for modeling 5.3: Statistical approach: Playing with cellular 5.4: Sliding or sticking? 5.5: Slab avalanche release in four steps SUPERFICIAL AND FULL-DEPTH AVALANCHES 6.1: Loose snow avalanches 6.2: Full depth avalanches 6.3: Summary SNOW AND AVALANCHES IN A CLIMATE WARMING CONTEXT 7.1: Climate change 7.2: Possible consequences on avalanching SUMMARY AND CONCLUSION APPENDIX A COMPLEXITY AND CRITICAL PHENOMENA A1: From simple to complex systems A2: Scale invariance and self-organized criticality APPENDIX B MODELING A FLUID TO SOLID PHASE TRANSITION IN SNOW WEAK-LAYERS. B1: A fluid to solid phase transition in healable granular materials B2: Application to slab avalanche release APPENDIX C STABILITY OF A SINTERED WEAK LAYER DISK SURROUNDED BY A RING-SHAPED FLUID WEAK LAYER ZONE","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":51017625076055,"sku":"9780198866930","price":49.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198866930.jpg?v=1750774158"},{"product_id":"statistical-mechanics-9780201360769","title":"Statistical Mechanics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis classic graduate lecture note volume on statistical mechanics focuses on Physics, rather than mathematics. It provides a concise introduction to basic concepts and a clear presentation of difficult topics, while challenging the student to reflect upon as yet unanswered questions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eFront Matter -- INTRODUCTION TO STATISTICAL MECHANICS -- DENSITY MATRICES -- PATH INTEGRALS -- CLASSICAL SYSTEM OF N PARTICLES -- ORDER-DISORDER THEORY -- CREATION AND ANNIHILATION OPERATORS -- SPIN WAVES -- POLARON PROBLEM -- ELECTRON GAS IN A METAL -- SUPERCONDUCTIVITY -- SUPERFLUIDITY","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":51017642869079,"sku":"9780201360769","price":49.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780201360769.jpg?v=1750774205"},{"product_id":"stochastic-processes-in-physics-and-chemistry-9780444529657","title":"Stochastic Processes in Physics and Chemistry","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eReplaces the contrived application of the quantum master equation with a satisfactory treatment of quantum fluctuations. This work covers the fluctuations and stochastic methods for describing them. It is of interest to students and researchers in applied mathematics, physics and physical chemistry.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eI. Stochastic variablesII. Random eventsIII. Stochastic processesIV. Markov processesV. The master equationVI. One-step processesVII. Chemical reactionsVIII. The Fokker-Planck equationIX. The Langevin approachX. The expansion of the master equationXI. The diffusion typeXII. First-passage problemsXIII. Unstable systemsXIV. Fluctuations in continuous systemsXV. The statistics of jump eventsXVI. Stochastic differential equationsXVII. Stochastic behavior of quantum systems","brand":"Elsevier Science","offers":[{"title":"Default Title","offer_id":51018241048919,"sku":"9780444529657","price":80.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780444529657.jpg?v=1750776138"},{"product_id":"an-introduction-to-the-modeling-of-neural-networks-9780521414517","title":"An Introduction to the Modeling of Neural Networks","description":"\u003cp\u003eThis text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers.\u003c\/p\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":51018260676951,"sku":"9780521414517","price":137.75,"currency_code":"GBP","in_stock":true}]},{"product_id":"statistical-physics-9780750633727","title":"Statistical Physics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"Stimulating reading\" --New Scientist\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eFundamental principles of theoretical physics; The Gibbs distribution; Ideal gases; Solids; Non-ideal gases; Solutions; Chemical reactions; Fluctuations; Surfaces.","brand":"Elsevier Science","offers":[{"title":"Default Title","offer_id":51018408558935,"sku":"9780750633727","price":62.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780750633727.jpg?v=1750776761"},{"product_id":"network-science-in-archaeology-9781009170642","title":"Network Science in Archaeology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book covers a vast range of network science techniques that can enhance archaeological research: network data collection and management, exploratory network analysis, sampling issues and sensitivity analysis, spatial networks, and network visualisation. It will be a key educational resource students and teachers.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introducing network science for archaeology; 2. Putting network science to work in archaeological research; 3. Network data; 4. Exploratory network analysis; 5. Quantifying uncertainty in archaeological networks; 6. Network visualisation; 7. Spatial networks and networks in space; 8. Uniting theory and method for archaeological network research; Appendix A: Answers for exercises; Appendix B: Software; Glossary.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":51018596483415,"sku":"9781009170642","price":34.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781009170642.jpg?v=1750777463"},{"product_id":"electrodynamics-tutorials-with-python-simulations-9781032502311","title":"Electrodynamics Tutorials with Python Simulations","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book provides an accessible introduction to intermediate-level electrodynamics with computa- tional approaches to complement a traditional mathematical treatment of the subject. It covers key topics in electrodynamics, such as electromagnetic fields, forces, potentials, and waves as well as Special Theory of Relativity.\u003c\/p\u003e\u003cp\u003eThrough intuition-building examples and visualizations in the Python programming language, it helps readers to develop technical computing skills in numerical and symbolic calculations, modeling and simulations, and visualizations. Python is a highly readable and practical programming language, making this book appropriate for students without extensive programming experience.\u003c\/p\u003e\u003cp\u003eThis book can serve as an electrodynamics textbook for undergraduate physics and engineering students in their second or third years, who are studying intermediate- or advanced-level electrodynamics and who want to learn techniques for scientific computing at the same time. Thi\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51019091575127,"sku":"9781032502311","price":43.69,"currency_code":"GBP","in_stock":true}]},{"product_id":"modularity-and-dynamics-on-complex-networks-9781108733533","title":"Modularity and Dynamics on Complex Networks","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eComplex networks are typically not homogeneous, as they tend to display an array of structures at different scales. A feature that has attracted a lot of research is their modular organisation, i.e., networks may often be considered as being composed of certain building blocks, or modules. In this Element, the authors discuss a number of ways in which this idea of modularity can be conceptualised, focusing specifically on the interplay between modular network structure and dynamics taking place on a network. They discuss, in particular, how modular structure and symmetries may impact on network dynamics and, vice versa, how observations of such dynamics may be used to infer the modular structure. They also revisit several other notions of modularity that have been proposed for complex networks and show how these can be related to and interpreted from the point of view of dynamical processes on networks.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction; 2. Background Material; 3. Modularity, community detection and clustering in networks; 4. Time scale separation and dynamics on modular networks; 5. Symmetries and dynamics on modular networks; 6. Dynamical methods for assortative communities; 7. Dynamical methods for disassortative communities and general block structures; 8. Perspectives; References.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":51019416076631,"sku":"9781108733533","price":16.15,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108733533.jpg?v=1750780209"},{"product_id":"modern-physics-introduction-to-statistical-mechanics-relativity-and-quantum-physics-9783030937454","title":"Modern Physics: Introduction to Statistical","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book offers an introduction to statistical mechanics, special relativity, and quantum physics. It is based on the lecture notes prepared for the one-semester course of \"Quantum Physics\" belonging to the Bachelor of Science in Material Sciences at the University of Padova.\u003cbr\u003eThe first chapter briefly reviews the ideas of classical statistical mechanics introduced by James Clerk Maxwell, Ludwig Boltzmann, Willard Gibbs, and others. The second chapter is devoted to the special relativity of Albert Einstein. In the third chapter, it is historically analyzed the quantization of light due to Max Planck and Albert Einstein, while the fourth chapter discusses the Niels Bohr quantization of the energy levels and the electromagnetic transitions. The fifth chapter investigates the Schrodinger equation, which was obtained by Erwin Schrodinger from the idea of Louis De Broglie to associate to each particle a quantum wavelength. Chapter Six describes the basic axioms of quantum mechanics, which were formulated in the seminal books of Paul Dirac and John von Neumann. In chapter seven, there are several important application of quantum mechanics: the quantum particle in a box, the quantum particle in the harmonic potential, the quantum tunneling, the stationary perturbation theory, and the time-dependent perturbation theory. Chapter Eight is devoted to the study of quantum atomic physics with special emphasis on the spin of the electron, which needs the Dirac equation for a rigorous theoretical justification. In the ninth chapter, it is explained the quantum mechanics of many identical particles at zero temperature, while in Chapter Ten the discussion is extended to many quantum particles at finite temperature by introducing and using the quantum statistical mechanics. \u003cbr\u003eThe four appendices on Dirac delta function, complex numbers, Fourier transform, and differential equations are a useful mathematical aid for the reader.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eTable of Contents1 Classical Statistical Mechanics1.1 Kinetic Theory of Gases 1.1.1 Maxwell Distribution of Velocities1.1.2 Maxwell-Boltzmann Distribution of Energies 1.1.3 Single-Particle Density of States 1.2 Statistical Ensembles of Gibbs 1.2.1 Microcanonical Ensemble 1.2.2 Canonical Ensemble 1.2.3 Grand Canonical Ensemble 1.2.4 Many-Particle Density of States 2 Special Relativity 2.1 Lorentz Transformations 2.2 Einstein Postulates 2.2.1 Gedanken Experiment of Einstein 2.3 Relativistic Mechanics 2.3.1 Relativistic Kinematics 2.3.2 Relativistic Dynamics 3 Quantum Properties of Light 3.1 Black-Body Radiation 3.1.1 Ideal Black Body 3.1.2 Derivation of the Planck Law 3.2 Photoelectric E ect 3.2.1 Experimental Data 3.2.2 Theoretical Explanation 3.3 Energy and Linear Momentum of a Photon 3.4 Compton E ect 3.4.1 Theoretical Explanation 4 Quantum Energy Levels of Atoms 4.1 Energy Spectra 4.1.1 Energy Spectrum of Hydrogen Atom 4.2 Hydrogen Atom of Bohr4.2.1 Derivation of the Bohr Results 4.3 Energy Levels and Photons 4.4 Electromagnetic Transitions 5 Wave Properties of Matter 5.1 De Broglie Wavelength 5.1.1 Explaining the Bohr Quantization 5.2 Experiment of Davisson and Germer 5.3 Double-Slit Experiment with Light5.4 Double-Slit Experiment with Electrons 5.5 Old Quantum Mechanics of Bohr, Wilson and Sommerfeld5.6 Matrix Quantum Mechanics of Heisenberg, Born and Jordan 5.7 Wave Quantum Mechanics of Schrodinger 5.7.1 Derivation of the Schr odinger Equation 5.8 Formal Quantization Rules5.8.1 Schrodinger Equation for a Free Particle 5.8.2 Schrodinger Equation for a Particle in an External Potential 5.9 Stationary Schr odinger Equation6 Axioms of Quantum Mechanics 6.1 Matrix Mechanics 6.2 Axioms of Quantum Mechanics7 Applications of Quantum Mechanics 7.1 Quantum Particle in a One-Dimensional Box Potential7.2 Quantum Particle in a One-Dimensional Harmonic Potential8 Quantum Physics of Atoms 8.1 Quantum Particle in a Separable Potential 8.1.1 Quantum Particle in the Harmonic Potential 8.2 Dirac Notation for a Quantum State8.3 Electron in the Hydrogen Atom 8.3.1 Schrodinger Equation in Spherical Polar Coordinates 8.3.2 Selection Rules 8.4 Pauli Exclusion Principle and the Spin8.5 Semi-Integer and Integer Spin: Fermions and Bosons8.6 The Dirac Equation 8.6.1 The Pauli Equation and the Spin8.6.2 Dirac Equation with a Central Potential 8.6.3 Relativistic Hydrogen Atom and Fine Splitting 8.6.4 Relativistic Corrections to the Schrodinger Hamiltonian9 Quantum Mechanics of Many-Body Systems 9.1 Identical Quantum Particles 9.1.1 Spin-Statistics Theorem9.2 Non-Interacting Identical Particles9.2.1 Atomic Shell Structure and the Periodic Table of the Elements 9.3 Interacting Identical Particles9.3.1 Variational Principle9.3.2 Electrons in Atoms and Molecules10 Quantum Statistical Mechanics 10.1 Quantum Statistical Ensembles 10.1.1 Quantum Microcanonical Ensemble 10.1.2 Quantum Canonical Ensemble 10.1.3 Quantum Grand Canonical Ensemble 10.2 Bosons and Fermions at Finite Temperature 10.2.1 Gas of Photons at Thermal Equlibrium10.2.2 Gas of Massive Bosons at Thermal Equlibrium 10.2.3 Gas of Non-Interacting Fermions at Zero TemperatureAppendix A Dirac Delta Function A.1 The Heaviside Step Function A.2 The Strange Function of Dirac A.2.1 Dirac Function and the Integrals A.3 Dirac Function in D Spatial Dimensions Appendix B Complex Numbers B.1 Set of Complex Numbers B.2 Gauss Plane B.2.1 Polar Representation B.3 Euler Formula B.3.1 Proof of the Euler Formula B.3.2 De Moivre FormulaB.4 Fundamental Theorem of Algebra B.5 Complex Functions Appendix C Fourier Transform C.1 Geometric and Taylor SeriesC.2 Fourier Series .C.2.1 Complex Representation of the Fourier Series C.3 Fourier Integral C.3.1 Properties of the Fourier Transform C.3.2 Fourier Transform and Uncertanty TheoremC.4 Fourier Transform of Space-Time FunctionsAppendix D Di erential equations D.1 First-Order Ordinary Di erential EquationsD.1.1 Separation of Variables D.2 Second-Order Ordinary Di erential Equations D.3 Newton Law as a Second-Order ODE D.4 Partial Di erential Equations D.4.1 Wave Equation D.4.2 Di usion Equation Bibliography ","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":51021127909719,"sku":"9783030937454","price":41.7,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030937454.jpg?v=1750785241"},{"product_id":"random-fields-for-spatial-data-modeling-a-primer-for-scientists-and-engineers-9789402419160","title":"Random Fields for Spatial Data Modeling: A Primer","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data analysis are integral parts of many scientific and engineering disciplines. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis. \u003cbr\u003eThe contents of the book include topics from classical statistics and random field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation, model inference, kriging-based prediction) and statistical physics (fractals, Ising model, simulated annealing, maximum entropy, functional integral representations, perturbation and variational methods).  The book also explores links between random fields, Gaussian processes and neural networks used in machine learning. Connections with applied mathematics are highlighted by means of models based on stochastic partial differential equations. An interlude on autoregressive time series provides useful lower-dimensional analogies and a connection with the classical linear harmonic oscillator. Other chapters focus on non-Gaussian random fields and stochastic simulation methods. The book also presents results based on the author’s research on Spartan random fields that were inspired by statistical field theories originating in physics. The equivalence of the one-dimensional Spartan random field model with the classical, linear, damped harmonic oscillator driven by white noise is highlighted.  Ideas with potentially significant computational gains for the processing of big spatial data are presented and discussed. The final chapter concludes with a description of the Karhunen-Loève expansion of the Spartan model. \u003cbr\u003eThe book will appeal to engineers, physicists, and geoscientists whose research involves spatial models or spatial data analysis. Anyone with background in probability and statistics can read at least parts of the book. Some chapters will be easier to understand by readers familiar with differential equations and Fourier transforms.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e“I would say … that the author’s use of an interdisciplinary approach in presenting the field of spatial data modeling is what makes this book truly unique. … I believe anyone who is willing to learn about and understand concepts, assumptions and methods behind spatial data modeling would benefit from having a copy of this outstanding book.” (Sandra De Iaco, Mathematical Geosciences, February 12, 2021)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Preliminary Remarks.- Why Random Fields?.- Notation and Definitions.- Noise and Errors.- Spatial Data and Basic Processing Procedures.- A Personal Selection of Relevant Books.-  Trend Models and Estimation.- Empirical Trend Estimation.- Regression Analysis.- Global Trend Models.- Local Trend Models.- Trend Estimation based on Physical Information.- Trend Based on the Laplace Equation.- Basic Notions of Random Fields.- Introduction.- Single-Point Description.- Stationarity and Statistical Homogeneity.- Variogram versus Covariance.- Permissibility of Covariance Functions.- Permissibility of Variogram Functions.- Additional Topics of Random Field Modeling.- Ergodicity.- Statistical Isotropy.- Anisotropy.- Anisotropic Spectral Densities.- Multipoint Description of Random Fields.- Geometric Properties of Random Fields.- Local Properties.- Covariance Hessian Identity and Geometric Anisotropy.- Spectral Moments.- Length Scales of Random Fields.- Fractal Dimension.- Long-Range Dependence.- Intrinsic Random Fields.- Fractional Brownian Motion.- Classification of Random Fields.- Gaussian Random Fields.- Multivariate Normal Distribution.- Field Integral Formulation.- Useful Properties of Gaussian Random Fields.- Perturbation Theory for Non-Gaussian Probability Densities.- Non-stationary Covariance Functions.- Further Reading.- Random Fields based on Local Interactions.- Spartan Spatial Random Fields.- Two-point Functions and Realizations.- Statistical and Geometric Properties.- Bessel-Lommel Covariance Functions.- Lattice Representations of Spartan Random Fields.- Introduction to Gauss-Markov Random Fields.- From Spartan Random Fields to Gauss-Markov Random Fields.- Lattice Spectral Density.- SSRF Lattice Moments.- SSRF Inverse Covariance Operator on Lattices.- Spartan Random Fields and Langevin Equations.- Introduction to Stochastic Differential Equations.- Classical Harmonic Oscillator.- Stochastic Partial Differential Equations.- Spartan Random Fields and Stochastic Partial Differential Equations.- Covariance and Green’s functions.- Whittle-Matérn Stochastic Partial Differential Equation.- Diversion in Time Series.- Spatial Prediction Fundamentals.- General Principles of Linear Prediction.- Deterministic Interpolation.- Stochastic Methods.- Simple Kriging.- Ordinary Kriging.- Properties of the Kriging Predictor.- Topics Related to the Application of Kriging.- Evaluating Model Performance.- More on Spatial Prediction.- Linear Generalizations of Kriging.- Nonlinear Extensions of Kriging.- Connections with Gaussian Process Regression.- Bayesian Kriging.- Continuum Formulation of Linear Prediction.- The “Local-Interaction” Approach.- Big Spatial Data.- Basic Concepts and Methods of Estimation.- Estimator Properties.- Estimating the Mean with Ordinary Kriging.- Variogram Estimation.- Maximum Likelihood Estimation.- Cross Validation.- More on Estimation.- The Method of Normalized Correlations.- The Method of Maximum Entropy.- Stochastic Local Interactions.- Measuring Ergodicity.- Beyond the Gaussian Models.- Trans-Gaussian Random Fields.- Gaussian Anamorphosis.- Tukey g-h Random Fields.- Transformations based on Kappa Exponentials.- Hermite Polynomials.- Multivariate Student’s t-distribution.- Copula Models.- The Replica Method.- Binary Random Fields.- The Indicator Random Field.- Ising Model.- Generalized Linear Models.- Simulations.- Introduction.- Covariance Matrix Factorization.- Spectral Simulation Methods.- Fast-Fourier-Transform Simulation.- Randomized Spectral Sampling.- Conditional Simulation based on Polarization Method.- Conditional Simulation based on Covariance Matrix Factorization.- Monte Carlo Methods.- Sequential Simulation of Random Fields.- Simulated Annealing.- Karhunen-Loève Expansion.- Karhunen-Loève Expansion of Spartan Random Fields.- Epilogue.- A Jacobi’s Transformation Theorems.- B Tables of SSRF Properties.- C Linear Algebra Facts.- D Kolmogorov-Smirnov Test.- Glossary.- References.- Index.","brand":"Springer","offers":[{"title":"Default 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