{"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":"an-introduction-to-thermal-physics-9780192895547","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 temperature affects molecular speeds, vibrations of solids, electrical and magnetic behaviors, emission of light, and exotic low-temperature phenomena. The problems and worked examples explore applications not just within physics but also to engineering, chemistry, biology, geology, atmospheric science, astrophysics, cosmology, and everyday life.\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":48732612985175,"sku":"9780192895547","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780192895547.jpg?v=1791454099"},{"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":29.49,"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":"data-analysis-9780198568322","title":"Data Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStatistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling o\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eOne of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. * Katie St. Clair MAA Reviews *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. The Basics ; 2. Parameter Estimation I ; 3. Parameter Estimation II ; 4. Model Selection ; 5. Assigning Probabilities ; 6. Non-parametric Estimation ; 7. Experimental Design ; 8. Least-Squares Extensions ; 9. Nested Sampling ; 10. Quantification ; Appendices ; Bibliography","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732763324759,"sku":"9780198568322","price":42.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198568322.jpg?v=1719998295"},{"product_id":"information-physics-and-computation-9780198570837","title":"Information Physics and Computation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science\/discrete mathematics, and coding\/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large random instances and adopts a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving. It also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e`Combines an exceptionally broad coverage of non-trivial problems with a treatment of sufficient depth [...] A very valuable and unique book.' ACC Coolen, King's College London\u003cbr\u003e`There is a growing awareness within computer science that concepts from statistical physics and information theory can provide excellent tools to study computational methods and problems. This book, by world-renowned experts  in the field, provides a lucid introduction to this exciting new interdisciplinary research area.    ' Bart Selman, Cornell University\u003cbr\u003e`No doubt a book of highest quality.' Heiko Rieger, Saarland University\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction to Information Theory ; 2. Statistical physics and probability theory ; 3. Introduction to combinatorial optimization ; 4. Probabilistic toolbox ; 5. The Random Energy Model ; 6. Random Code Ensemble ; 7. Number partitioning ; 8. Introduction to replica theory ; 9. Factor graphs and graph ensembles ; 10. Satisfiability ; 11. Low-Density Parity-Check Codes ; 12. Spin glasses ; 13. Bridges: Inference and Monte Carlo ; 14. Belief propagation ; 15. Decoding with belief propagation ; 16. The assignment problem ; 17. Ising models on random graphs ; 18. Linear Boolean equations ; 19. The 1RSB cavity method ; 20. Random K-satisfiability ; 21. Glassy states in coding theory ; 22. An ongoing story","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732763423063,"sku":"9780198570837","price":92.42,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198570837.jpg?v=1791454464"},{"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}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198714934.jpg?v=1791454474"},{"product_id":"first-course-in-network-theory-p-9780198726463","title":"FIRST COURSE IN NETWORK THEORY P","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe study of network theory is a highly interdisciplinary field, which has emerged as a major topic of interest in various disciplines ranging from physics and mathematics, to biology and sociology. This book promotes the diverse nature of the study of complex networks by balancing the needs of students from very different backgrounds. It references the most commonly used concepts in network theory, provides examples of their applications in solving practical problems, and clear indications on how to analyse their results.In the first part of the book, students and researchers will discover the quantitative and analytical tools necessary to work with complex networks, including the most basic concepts in network and graph theory, linear and matrix algebra, as well as the physical concepts most frequently used for studying networks. They will also find instruction on some key skills such as how to proof analytic results and how to manipulate empirical network data. The bulk of the text \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction ; 2. General Concepts in Network Theory ; 3. How To Prove It? ; 4. Data Analysis ; 5. Algebraic Concepts in Network Theory ; 6. Spectra of Adjacency Matrices ; 7. The Network Laplacian ; 8. Classical Physcis Analogies ; 9. Degree Distributions ; 10. Clustering Coefficients of Networks ; 11. Random Models of Networks ; 12. Matrix Functions ; 13. Fragment Based Measures ; 14. Classical Node Centrality ; 15. Spectral Node Centrality ; 16. Quantum Physcis Analogies ; 17. Global Properties of Networks I ; 18. Global properties of networks II ; 19. Communicability in Networks ; 20. Statistical Physics Analogies ; 21. Communities in Networks","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732771746135,"sku":"9780198726463","price":58.23,"currency_code":"GBP","in_stock":true}]},{"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":999.99,"currency_code":"GBP","in_stock":false}],"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":85.37,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198885801.jpg?v=1791454555"},{"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":999.99,"currency_code":"GBP","in_stock":false}],"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}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780521880329.jpg?v=1791378801"},{"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":57.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781316519639.jpg?v=1720049479"},{"product_id":"cosmology-and-string-theory-9783030150761","title":"Cosmology and String Theory","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eCosmology describes the evolution of the Universe and is based on a description of its beginning from quantum fluctuations. String theory is the only known consistent theory of quantum gravity that can deal with the highest energy scales near the Planck energy, relevant for cosmology's beginning. As a result, only string theory can give a fully consistent picture of cosmological origins. This book describes the best current avenues for obtaining cosmology from string theory. It is aimed at graduate students, and also researchers, with some familiarity with cosmology and string theory, however no detailed knowledge is required.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743025213783,"sku":"9783030150761","price":107.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030150761.jpg?v=1791480459"},{"product_id":"understanding-gravitational-waves-9783030742065","title":"Understanding Gravitational Waves","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe birth of a completely new branch of observational astronomy is a rare and exciting occurrence. For a long time, our theories about gravitational waves—proposed by Albert Einstein and others more than a hundred years ago—could never be fully proven, since we lacked the proper technology to do it.\u003c\/p\u003e  \u003cp\u003eThat all changed when, on September 14, 2015, instruments at the LIGO Observatory detected gravitational waves for the first time.\u003c\/p\u003e  \u003cp\u003eThis book explores the nature of gravitational waves—what they are, where they come from, why they are so significant and why nobody could prove they existed before now. Written in plain language and interspersed with additional explanatory tutorials, it will appeal to lay readers, science enthusiasts, physical science students, amateur astronomers and to professional scientists and astronomers.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“The material covered and the manner of presentation are at a level somewhat higher than those of the typical popular-science book aimed at the ‘interested lay reader’. … The book also describes all the major GW detectors currently active, as well as many projects planned or under-development. The writing is fluid, the physical book is nicely typeset and very readable … . I think many readers would enjoy and learn much from this book.” (Jonathan Thornburg, The Observatory, Vol. 142 (1291), December, 2022)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eChapter 1. 14th September 2015.- Chapter 2. Gravity – From 850,000,000 BCE to 1915 CE.- Chapter 3. Gravity - From 1915 - through Today - and on towards Tomorrow.- Chapter 4. Gravitational Waves – The Long, Long Journey from Half-Seen Chimeras to Highly Studied Certainties.- Chapter 5. Gravitational Waves – Origins and Sources.- Chapter 6. Gravitational Wave Events – Calling the Roll.- Chapter 7. Into the Unknown - the First Years of the Quest for Gravitational Waves.- Chapter 8. Eureka! – A Beginner’s Guide to Making Successful Gravitational Wave Detectors.- Chapter 9. Gravitational Waves and their Detectors - Into the Future - and Beyond.\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743048118615,"sku":"9783030742065","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030742065.jpg?v=1720063881"},{"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":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030941086.jpg?v=1791480568"},{"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":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031199332.jpg?v=1720064002"},{"product_id":"entropy-and-the-second-law-of-thermodynamics-or-why-things-tend-to-go-wrong-and-seem-to-get-worse-9783031349492","title":"Entropy and the Second Law of Thermodynamics: ...","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is a brief and accessible popular science text intended for a broad audience and of particular interest also to science students and specialists. Using a minimum of mathematics, a number of qualitative and quantitative examples, and clear illustrations, the author explains the science of thermodynamics in its full historical context, focusing on the concepts of energy and its availability and transformation in thermodynamic processes. His ultimate aim is to gain a deep understanding of the second law—the increase of entropy—and its rather disheartening message of a universe descending inexorably into chaos and disorder. It also examines the connection between the second law and why things go wrong in our daily lives.  Readers will enhance their science literacy and feel more at home on the science side of author C. P. Snow's celebrated two-culture, science-humanities divide, and hopefully will feel more at home in the universe knowing that the disorder we deal with in our daily lives is not anyone's fault but Nature's.  \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1. Introduction.- Chapter 2. The Nature of Heat.- Chapter 3. The Laws of Thermodynamics- Chapter 4. Statistical Interpretation of the Second Law of Thermodynamics- Chapter 5. Implications of the Second Law of Thermodynamics: Why Things Go Wrong.- Chapter 6. So, What's To Do?","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743082754391,"sku":"9783031349492","price":23.74,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031349492.jpg?v=1791480670"},{"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":"an-introduction-to-statistical-thermodynamics-9780486652429","title":"An Introduction to Statistical Thermodynamics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Dover Publications Inc.","offers":[{"title":"Default Title","offer_id":48864739852631,"sku":"9780486652429","price":15.29,"currency_code":"GBP","in_stock":true}]},{"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":54.99,"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":63.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780691201771.jpg?v=1791379219"},{"product_id":"a-physicists-introduction-to-algebraic-structures-9781108492201","title":"A Physicists Introduction to Algebraic Structures","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eCatering to the needs of graduate students and researchers in the field of mathematical physics and theoretical physics, this comprehensive and valuable text discusses the essential concepts of algebraic structures such as metric space, group, modular numbers, algebraic integers, field, vector space, Boolean algebra and measure angle.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Part I. General Introduction: 1. Rules of logic; 2. Sets and functions; 3. Algebraic structures; Part II. Vector Spaces: 4. Basics; 5. Operators on vector spaces; 6. Infinite dimensional vector spaces; Part III. Group Theory: 7. General properties of groups; 8. Finite groups; 9. Representation of finite groups; 10. Symmetries of regular geometrical objects; 11. Countably infinite groups; 12. General properties of Lie groups; 13. Rotations and translations; 14. Unitary groups and their representations; 15. Orthogonal groups and their representations; 16. Parameter space of Lie groups; 17. Representations of the Lorentz group; 18. Roots and weights; 19. Some other groups and algebras; Part IV. Topology: 20. Continuity of functions; 21. Topological spaces; 22. Homotopy theory; 23. Homology; Appendices; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48866356199767,"sku":"9781108492201","price":69.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"monte-carlo-simulation-in-statistical-physics-an-introduction-9783030107574","title":"Monte Carlo Simulation in Statistical Physics: An","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field.\u003c\/p\u003e\u003cp\u003eThis edition has been updated with two new chapters dealing with recently developed powerful special algorithms and with finite size scaling tools for the study of interfacial phenomena, which are important for nanoscience. Previous editions have been highly praised and widely used by both students and advanced researchers.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“This will be an appropriate text for advanced graduate students, scientist and researchers who are interested in Monte Carlo methods in statistical mechanics.” (Maria Christina Mariani, zbMATH 1428.82003, 2020)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction: Purpose and Scope of this Volume, and Some General Comments.- Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- Guide to Practical Work with the Monte Carlo Method.- Some Important Developments of the Monte Carlo Methodology.- Quantum Monte Carlo Simulation: An Introduction.- Monte Carlo Methods for the Sampling of Free Energy Landscapes.- Special Monte Carlo Algorithms.- Finite Size Scaling Tools for the Study of Interfacial Phenomena and Wetting.\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48869360697687,"sku":"9783030107574","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030107574.jpg?v=1791480454"},{"product_id":"nonlinear-dynamics-a-concise-introduction-interlaced-with-code-9783030910310","title":"Nonlinear Dynamics: A Concise Introduction","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis concise and up-to-date textbook provides an accessible introduction to the core concepts of nonlinear dynamics as well as its existing and potential applications. The book is aimed at students and researchers in all the diverse fields in which nonlinear phenomena are important. Since most tasks in nonlinear dynamics cannot be treated analytically, skills in using numerical simulations are crucial for analyzing these phenomena. The text therefore addresses in detail appropriate computational methods as well as identifying the pitfalls of numerical simulations. It includes numerous executable code snippets referring to open source Julia software packages. 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With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject''s traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be m\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'In the history of science and technology, the engineering artifact often comes first: the telescope, the steam engine, digital communication. The theory that explains its function and its limitations often appears later: the laws of refraction, thermodynamics, and information theory. With the emergence of deep learning, AI-powered engineering wonders have entered our lives — but our theoretical understanding of the power and limits of deep learning is still partial. This is one of the first books devoted to the theory of deep learning, and lays out the methods and results from recent theoretical approaches in a coherent manner.' Yann LeCun, New York University and Chief AI Scientist at Meta\u003cbr\u003e'For a physicist, it is very interesting to see deep learning approached from the point of view of statistical physics. This book provides a fascinating perspective on a topic of increasing importance in the modern world.' Edward Witten, Institute for Advanced Study\u003cbr\u003e'This is an important book that contributes big, unexpected new ideas for unraveling the mystery of deep learning's effectiveness, in unusually clear prose. I hope it will be read and debated by experts in all the relevant disciplines.' Scott Aaronson, University of Texas at Austin\u003cbr\u003e'It is not an exaggeration to say that the world is being revolutionized by deep learning methods for AI. But why do these deep networks work? This book offers an approach to this problem through the sophisticated tools of statistical physics and the renormalization group. The authors provide an elegant guided tour of these methods, interesting for experts and non-experts alike. They write with clarity and even moments of humor. Their results, many presented here for the first time, are the first steps in what promises to be a rich research program, combining theoretical depth with practical consequences.' William Bialek, Princeton University\u003cbr\u003e'This book's physics-trained authors have made a cool discovery, that feature learning depends critically on the ratio of depth to width in the neural net.' Gilbert Strang, Massachusetts Institute of Technology\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; 0. Initialization; 1. Pretraining; 2. Neural networks; 3. Effective theory of deep linear networks at initialization; 4. RG flow of preactivations; 5. Effective theory of preactivations at initializations; 6. Bayesian learning; 7. Gradient-based learning; 8. RG flow of the neural tangent kernel; 9. Effective theory of the NTK at initialization; 10. Kernel learning; 11. Representation learning; ∞. The end of training; ε. Epilogue; A. Information in deep learning; B. Residual learning; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48885417148759,"sku":"9781316519332","price":59.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781316519332.jpg?v=1722536286"},{"product_id":"surface-disordering-growth-roughening-phase-transitions-9781560720980","title":"Surface Disordering: Growth, Roughening \u0026 Phase","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eProceedings of the Workshop on Surface Disordering.","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886313681239,"sku":"9781560720980","price":145.59,"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":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781560721536.jpg?v=1722539592"},{"product_id":"thermodynamics-of-spontaneous-non-spontaneous-processes-9781560729044","title":"Thermodynamics of Spontaneous \u0026 Non-Spontaneous","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eMain terms in the thermodynamics; Spontaneous and non-spontaneous processes; The first law of thermodynamics for open systems; The second law of thermodynamics and main mathematical equations; Thermodynamics of spontaneous and non- spontaneous processes; Correlation of processes for interacting phase-open systems and the surrounding; Kinetics of entropy variation; The Helmholtz energy for spontaneous and non-spontaneous processes; The Gibbs energy in thermodynamically irreversible processes; Practical examples of influence of relation of spontaneous and non-spontaneous processes on technological and natural phenomena; Equations of equilibrium thermodynamics and the method of determination of the process type basing on thermodynamics of spontaneous and non-spontaneous processes; References; Subject Index.","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886334423383,"sku":"9781560729044","price":78.39,"currency_code":"GBP","in_stock":false}]},{"product_id":"statistical-condensed-matter-physics-over-the-horizon-9781600217586","title":"Statistical \u0026 Condensed Matter Physics: Over the","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStatistical \u0026amp; Condensed Matter Physics - Over the Horizon","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886606037335,"sku":"9781600217586","price":162.74,"currency_code":"GBP","in_stock":false}]},{"product_id":"statistical-mechanics-research-9781604560299","title":"Statistical Mechanics Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis important book focuses on statistical mechanics which is the application of probability theory, which includes mathematical tools for dealing with large populations, to the field of mechanics, which is concerned with the motion of particles or objects when subjected to a force. It provides a framework for relating the microscopic properties of individual atoms and molecules to the macroscopic or bulk properties of materials that can be observed in everyday life, therefore explaining thermodynamics as a natural result of statistics and mechanics (classical and quantum) at the microscopic level. In particular, it can be used to calculate the thermodynamic properties of bulk materials from the spectroscopic data of individual molecules. This ability to make macroscopic predictions based on microscopic properties is the main asset of statistical mechanics over thermodynamics. Both theories are governed by the second law of thermodynamics through the medium of entropy.","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886625468759,"sku":"9781604560299","price":149.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"progress-in-statistical-mechanics-research-9781604560282","title":"Progress in Statistical Mechanics Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStatistical mechanics is the application of probability theory, which includes mathematical tools for dealing with large populations, to the field of mechanics, which is concerned with the motion of particles or objects when subjected to a force. It provides a framework for relating the microscopic properties of individual atoms and molecules to the macroscopic or bulk properties of materials that can be observed in everyday life, therefore explaining thermodynamics as a natural result of statistics and mechanics (classical and quantum) at the microscopic level. In particular, it can be used to calculate the thermodynamic properties of bulk materials from the spectroscopic data of individual molecules. This ability to make macroscopic predictions based on microscopic properties is the main asset of statistical mechanics over thermodynamics. Both theories are governed by the second law of thermodynamics through the medium of entropy.","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886625501527,"sku":"9781604560282","price":159.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"progress-in-chemical-biochemical-physics-kinetics-thermodynamics-9781604560794","title":"Progress in Chemical \u0026 Biochemical Physics,","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book presents significant research on antioxidants for chemistry and biology, kinetics and mechanisms of molecular, radical and ion reactions in chemistry and biochemistry, chemistry of ozone (reactions of ozone with organic and inorganic compounds, action of antiozonants), application of electron magnetic resonance and nuclear magnetic resonance in chemistry and biology, investigations of the structure and properties of nanocomposites (nanotubes, particularly), investigations on the structure and properties of nanocomposites (nanotubes, particularly), investigations of heterogeneous-heterophases mechanisms of reaction in polymer matrix, preparation and using of organic papanagnets for investigation of radical reactions in chemistry and biology, investigation of kinetic parameters in biochemical reactions, new designs for processing, mechanisms of oxidation and stabilisation of organic compounds (including polymers), polymer blends, composites and filled polymers (preparation, properties and application), and information about genetic construction, reactions with participants of enzymes.","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886627008855,"sku":"9781604560794","price":149.99,"currency_code":"GBP","in_stock":false}]},{"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":297.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781614709664.jpg?v=1722541910"},{"product_id":"statistical-dynamics-matter-out-of-equilibrium-9781860940460","title":"Statistical Dynamics: Matter Out Of Equilibrium","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIn the first part of this book, classical nonequilibrium statistical mechanics is developed. Starting from the Hamiltonian dynamics of the molecules, it leads through the irreversible kinetic equations to the level of fluid mechanics. For simple systems, all the transport coefficients are determined by the molecular properties.The second part of the book treats complex systems that require a more extensive use of statistical concepts. Such problems, which are at the forefront of research, include: continuous time random walks, non-Markovian diffusion processes, percolation and related critical phenomena, transport on fractal structures, transport and deterministic chaos. These “strange transport processes” differ significantly from the usual (diffusive) transport. Their inclusion in a general treatise on statistical mechanics is a special feature of this invaluable book.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eStates, dynamical functions, evolution; general formalism of statistical mechanics; reduced distribution functions and correlation functions; the mean field approximation; weak coupling kinetic equation; kinetic equation for dilute gases; kinetic equation for plasmas; properties of kinetic equations; hydrodynamics and tranport; transport and autocorrelation functions; random walks and transport; critical phenomena; transport on percolation structures; maps and transport.","brand":"Imperial College Press","offers":[{"title":"Default Title","offer_id":48888191517015,"sku":"9781860940460","price":33.25,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781860940460.jpg?v=1791479089"},{"product_id":"statistical-mechanics-9781891389153","title":"Statistical Mechanics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStatistical Mechanics is a renowned and accessible introduction to the subject, containing a large number of chapter-ending problems for students.","brand":"University Science Books,U.S.","offers":[{"title":"Default Title","offer_id":48888275632471,"sku":"9781891389153","price":95.0,"currency_code":"GBP","in_stock":false}]},{"product_id":"lectures-on-random-evolution-9789810205591","title":"Lectures On Random Evolution","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eRandom evolution denotes a class of stochastic processes which evolve according to a rule which varies in time according to jumps. This is in contrast to diffusion processes, which assume that the rule changes continuously with time. Random evolutions provide a very flexible language, having the advantage that they permit direct numerical simulation-which is not possible for a diffusion process. Furthermore, they allow connections with hyperbolic partial differential equations and the kinetic theory of gases, which is impossible within the domain of diffusion proceses. They also posses great geometric invariance, allowing formulation on an arbitrary Riemannian manifold. In the field of stochastic stability, random evolutions furnish some easily computable models in which to study the Lyapunov exponent and rotation numbers of oscillators under the influence of noise. This monograph presents the various aspects of random evolution in an accessible and interesting format which will appeal to a large scientific audience.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"The book is nicely written, going from the simplest to the general case, obtaining all the basic results along the way.\"  Henryk Gzyl  Mathematical Reviews, 1993","brand":"World Scientific Publishing Co Pte Ltd","offers":[{"title":"Default Title","offer_id":48890166083927,"sku":"9789810205591","price":43.7,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789810205591.jpg?v=1791483735"},{"product_id":"dimension-estimation-and-models-9789810213534","title":"Dimension Estimation And Models","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis volume is the first in the new series Nonlinear Time Series and Chaos. The general aim of the series is to provide a bridge between the two communities by inviting prominent researchers in their respective fields to give a systematic account of their chosen topics, starting at the beginning and ending with the latest state. It is hoped that researchers in both communities will find the topics relevant and thought provoking. In this volume, the first chapter, written by Professor Colleen Cutler, is a comprehensive account of the theory and estimation of fractal dimension, a topic of central importance in dynamical systems, which has recently attracted the attention of the statisticians. As it is natural to study a stochastic dynamical system within the framework of Markov chains, it is therefore relevant to study their limiting behaviour. The second chapter, written by Professor Kung-Sik Chan, reviews some limit theorems of Markov chains and illustrates their relevance to chaos. The next three chapters are concerned with specific models. Briefly, Chapter Three by Professor Peter Lewis and Dr Bonnie Ray and Chapter Four by Professor Peter Brockwell generalise the class of self-exciting threshold autoregressive models in different directions. In Chapter Three, the new and powerful methodology of multivariate adaptive regression splines (MARS) is adapted to time series data. Its versatility is illustrated by reference to the very interesting and complex sea surface temperature data. Chapter Four exploits the greater tractability of continuous-time Markov approach to discrete-time data. The approach is particularly relevant to irregularly sampled data. The concluding chapter, by Professor Pham Dinh Tuan, is likely to be the most definitive account of bilinear models in discrete time to date.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eContinuous time threshold models, P. Brockwell; bilinear models, P.D. Tuan; estimation of dimension of attractors, C. Cutler; MARS, P. Lewis.","brand":"World Scientific Publishing Co Pte Ltd","offers":[{"title":"Default Title","offer_id":48890166542679,"sku":"9789810213534","price":85.5,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789810213534.jpg?v=1791483741"},{"product_id":"disorder-and-competition-in-soluble-lattice-models-9789810214166","title":"Disorder And Competition In Soluble Lattice","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAt present, existing literature on this subject matter can only be said to relate in minor areas to this work. Important concepts in statistical mechanics, such as frustration, localization, Lifshitz and Griffiths singularities, multicritical points, modulated phases, superselection sectors, spontaneous symmetry breaking and the Haldane phase, strange attractors and the Hausdorff dimension, and many others, are illustrated by exactly soluble lattice models. There are examples of simple lattice models which are shown to give rise to spectacular phase diagrams, with multicritical points and sequences of modulated phases. The models are chosen to enable a concise exposition as well as a connection with real physical systems (as dilute antiferromagnets, spin glasses and modulated magnets). A brief introduction to the properties of dynamical systems, an overview of conformal invariance and the Bethe Ansatz and a discussion of some general methods of statistical mechanics related to spontaneous symmetry breaking, are included in the appendices. 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The book contains also an extensive bibliography.The book serves undergraduate, graduate and postgraduate students, as well as researchers who have had prior experience with the subject matter at a more elementary level or have used other many-particle techniques.","brand":"World Scientific Publishing Co Pte Ltd","offers":[{"title":"Default Title","offer_id":48890217791831,"sku":"9789813145627","price":360.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789813145627.jpg?v=1791484095"},{"product_id":"luttinger-model-the-first-50-years-and-some-new-directions-9789814520713","title":"Luttinger Model: The First 50 Years And Some New","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe Luttinger Model is the only model of many-fermion physics with legitimate claims to be both exactly and completely solvable. In several respects it plays the same role in many-body theory as does the 2D Ising model in statistical physics.Interest in the Luttinger model has increased steadily ever since its introduction half a century ago. The present volume starts with reprints of the seminal papers in which it was originally introduced and solved, and continues with several contributions setting out the landscape of the principal advances of the last fifty years and of prominent new directions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eThe Luttinger Model and Its Solution: An Exactly Soluble Model of a Many-Fermion System (J M Luttinger); Exact Solution of a Many-Fermion System and its Associated Boson Field (Daniel C Mattis and Elliott H Lieb); Lattice, Dynamical and Non Linear Effects: Luttinger Model and Luttinger Liquids (Vieri Mastropietro); The Luttinger Liquid and Integrable Models (J Sirker); Long Time Correlations of Nonlinear Luttinger Liquids Rodrigo (G Pereira); An Expanded Luttinger Model (Daniel C Mattis); Applications and Experimental Tests: Quantum Hall Edge Physics and Its One-Dimensional Luttinger Liquid Description (Orion Ciftja); A Luttinger Liquid Core Inside Helium-4 Filled Nanopores (Adrian Del Maestro); Some Experimental Tests of Tomonaga - Luttinger Liquids (T Giamarchi); Bosonization and Its Application to Transport in Quantum Wires (Feifei Li); Generalizations to Higher Dimensions: Fermions in Two Dimensions, Bosonization, and Exactly Solvable Models (Jonas De Woul and Edwin Langmann); Luttinger Liquid, Singular Interaction and Quantum Criticality in Cuprate Materials (C Di Castro and S Caprara); Luttinger Model in Dimensions d \u0026gt; 1 (Daniel C Mattis).","brand":"World Scientific Publishing Co Pte Ltd","offers":[{"title":"Default Title","offer_id":48890224214359,"sku":"9789814520713","price":95.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789814520713.jpg?v=1791484292"},{"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"}],"url":"https:\/\/bookcurl.com\/collections\/statistical-physics.oembed?page=6","provider":"Book Curl","version":"1.0","type":"link"}