Applied mathematics Books

Book SynopsisTrade ReviewYes, mediation is an important topic. It has longed been used in the social sciences especially psychology. Of late there has been interest in many different fields including economics, sociology, epidemiology, political science and education, among other fields. Tyler VanderWeele is very qualified to author this book. He has contributed important work to the development of this topic and is a talented and careful researcher. I think there is potential for adoption in graduate courses in the social and biomedical sciences. I also think it could be widely purchased by applied researchers as a reference. I recommend publication. * Luke Keele, Associate Professor, Department of Political Science, Penn State University *Mediation is about understanding pathways between a treatment and an outcome that lead to the outcome, i.e., mechanisms. Mechanisms are a central thing in science and statisticians have been providing new principled methods for studying these topics over especially the last 10 years. Especially in the social and behavioral sciences and in epidemiology there has been great interest in these methods, and the methodology the author wants to write about is the new stuff from the last 10 years. [VanderWeele] is the key player in statistical literature these days. He's a good communicator… Primary market: applied researchers doing mediation in epidemiology, social and behavioral sciences. Secondary market: applied statisticians teaching causal inference and/or working in the area." " * Michael Sobel, Dept Sociology, Columbia *Table of ContentsPART I: MEDIATION ANALYSIS ; Chapter 1. Explanation and Mechanism ; Chapter 2. Mediation: Introduction and Regression-Based Approaches ; Chapter 3. Sensitivity Analysis for Mediation ; Chapter 4. Mediation Analysis with Survival Data ; Chapter 5. Multiple Mediators ; Chapter 6. Mediation Analysis with Time-Varying Exposures and Mediators ; Chapter 7. Selected Topics in Mediation Analysis ; Chapter 8. Other Topics Related to Intermediates ; PART II: INTERACTION ANALYSIS ; Chapter 9. An Introduction to Interaction Analysis ; Chapter 10. Mechanistic Interaction ; Chapter 11. Bias Analysis for Interactions ; Chapter 12. Interaction in Genetics: Independence and Boosting Power ; Chapter 13. Power and Sample-Size Calculations for Interaction Analysis ; PART III: SYNTHESIS AND SPILLOVER EFFECTS ; Chapter 14. A Unification of Mediation and Interaction ; Chapter 15. Social Interactions and Spillover Effects ; Chapter 16. Mediation and Interaction: Future and Context ; Appendix. Technical Details and Proofs ; References

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Book SynopsisThe quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.Trade ReviewShort and to the point, uncluttered, unfancy, free of the faux rigor of most modern finance textbooks, written by a practitioner, that hits most of the essential principles of quantitative finance. * Emanuel Derman, author of My Life as a Quant *The author writes elegantly, and combines precision of expression with topical real-world examples in a way that makes this an exceptional work. * Frank Kelly, University of Cambridge *It is all too rare to find clear thinking, based on first principles, combined with practical understanding of financial markets. This is precisely what Stephen Blyth offers, drawing equally on his mathematical and statistical training and his career in quantitative finance. This book beautifully explains both the profound implications of no-arbitrage theory for the prices of fixed-income derivative securities, and also the pitfalls in practical applications. * John Y Campbell, Harvard University *Table of ContentsI INTRODUCTION AND PRELIMINARIES; II FORWARDS, SWAPS AND OPTIONS; III REPLICATION, RISK-NEUTRALITY AND THE FUNDAMENTAL THEOREM; IV INTEREST RATE OPTIONS; V THROUGH CONTINUOUS TIME

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Book SynopsisMath and Art: An Introduction to Visual Mathematics explores the potential of mathematics to generate visually appealing objects and reveals some of the beauty of mathematics. It includes numerous illustrations, computer-generated graphics, photographs, and art reproductions to demonstrate how mathematics can inspire or generate art.Focusing on accessible, visually interesting, and mathematically relevant topics, the text unifies mathematics subjects through their visual and conceptual beauty. Sequentially organized according to mathematical maturity level, each chapter covers a cross section of mathematics, from fundamental Euclidean geometry, tilings, and fractals to hyperbolic geometry, platonic solids, and topology. For art students, the book stresses an understanding of the mathematical background of relatively complicated yet intriguing visual objects. For science students, it presents various elegant mathematical theories and notions.Features Provides an accessible introduction to mathematics in art Supports the narrative with a self-contained mathematical theory, with complete proofs of the main results (including the classification theorem for similarities) Presents hundreds of figures, illustrations, computer-generated graphics, designs, photographs, and art reproductions, mainly presented in full color Includes 21 projects and approximately 280 exercises, about half of which are fully solved Covers Euclidean geometry, golden section, Fibonacci numbers, symmetries, tilings, similarities, fractals, cellular automata, inversion, hyperbolic geometry, perspective drawing, Platonic and Archimedean solids, and topology New to the Second Edition New exercises, projects and artworks Revised, reorganized and expanded chapters More use of color throughout Trade Review"A beautiful book that brings out a wide range of mathematics, ancient to modern, with rich and often unexpected connections to the visual arts."– Catherine A. Gorini, Maharishi International University"Kalajdzievski takes us on a fascinating journey through the most visual subjects in mathematics. This book has the rare quality of not only organizing topics in a sequence that reveals how geometric concepts build upon one another, but also presenting each topic in a compact and self-contained manner for readers who prefer to browse for different entry points into the text. Although verbal explanations and mathematical formulae abound here, it is the colorful diagrams and photographs that capture the attention and enchant the eye. "– James Mai, Professor of Art, Illinois State University"The book presents mathematical and geometrical topics which can be expressed as the artistic pieces and serve to inspiring the artists to explore visual beauty and power of mathematics. In comparison with the first edition (of 2008), this book is noticeably extended to 280 exercises (from 190 originally) with solutions given to a half of them, 740 figures and artworks (from 556 previously), and 21 projects suggested for students.[. . . ] The book contains various illustrations and computer-generated graphics, photographs and art reproductions almost in each page, revealing an astonishing interaction of mathematics and artistic findings in human civilization and culture. [. . . ] The book can be useful to instructors and students, and interesting to any readers wishing to extend their knowledge and understanding of the esthetics and science of the visual math and mathematical art."– Technometrics"There are many books about mathematics and art; this one distinguishes itself as an “unorthodox geometry textbook,” with exercises and fun art projects. The book is based on 20 years of offering a course to more than 10,000 students. It stops short of covering some of the mathematics (groups are mentioned but not defined), though one theorem (classification of similarities) is proved in an appendix. Topics are Euclidean geometry, transformations of the plane, similarities and fractals, hyperbolic geometry, perspective, three-dimensional objects, and topology. The book averages two figures per page, with many utterly beautiful in color. You might be surprised at the sophisticated mathematical content of some crop circles (no doubt made by aliens!), and amazed by some of the illustrations of artworks."– Mathematics Magazine, MAAPraise for the First Edition"This delightful book grew out of set of teaching notes for an interdisciplinary course called Math in Art that was co-taught by a mathematician and an artist or architect. … The mathematical ideas are presented visually in a way that seems quite natural, and it engages the reader through explorations with lots of hands-on exercises. The mathematical presentation is solid, and the choice of topics puts the focus on the visual presentation of mathematical concepts. The illustrations are beautiful! … This text is very readable. The mathematics is accessible to those with little mathematical background, and yet the presentation is still engaging for those with more background."—MAA Reviews, March 2009"All in all, this work offers an excellent account of art inspired by mathematics and art generated by mathematics, and it should interest readers in both fields. Summing Up: Highly Recommended."– R.M. Davis, emeritus, Albion College, in Choice: Current Review for Academic Libraries, February 2009, Vol. 46, No. 6Table of ContentsChapter 1. Euclidean Geometry. 1.0. Introduction. 1.1. The Five Axioms of Euclidean Geometry. 1.2. Ruler and Compass Constructions. 1.3. The Golden Ratio. 1.4. Fibonacci Numbers. Chapter 2. Plane Transformations. 2.1. Plane Symmetries. 2.2.* Plane Symmetries, Vectors, and Matrices (Optional). 2.3. Groups of Symmetries Of Planar Objects. 2.4. Frieze Patterns. 2.5. Wallpaper Designs and Tilings of the Plane. 2.6. Tilings and Art. Chapter 3. Similarities, Fractals, and Cellular Automata. 3.1. Similarities and some other Planar Transformations. 3.2.* Complex Numbers (Optional). 3.3. Fractals: Definition and Some Examples. 3.4. Julia Sets. 3.5. Cellular Automata. Chapter 4. Hyperbolic Geometry. 4.1. Non-Euclidean Geometries: Background and Some History. 4.2. Inversion. 4.3. Hyperbolic Geometry. 4.4. Some Basic Constructions in the Poincaré Model. 4.5. Tilings of the Hyperbolic Plane. Chapter 5. Perspective. 5.1. Perspective: A brief overview of the Evolution of the rules of perspective. 5.2. Perspective Drawing and Constructions of Some Two-Dimensional (Planar) Objects. 5.3. Perspective Images of Three-Dimensional Objects. 5.4.* Mathematics of Perspective Drawing: A Brief Overview (Optional). Chapter 6. Some Three-Dimensional Objects. 6.1. Regular and Other Polyhedra. 6.2. Sphere, Cylinder, Cone, and Conic Sections. 6.3. Geometry, Tilings, Fractals, and Cellular Automata in Three Dimensions. Chapter 7. Topology. 7.1. Homotopy of Spaces: An Informal Introduction. 7.2. Two-Manifolds and The Euler Characteristic. 7.3. Non-Orientable Two-Manifolds and Three-Manifolds. Appendix: Classification Theorem for Similarities. Solutions.

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Book SynopsisAn Introduction to Economic Dynamics provides a framework for students to appreciate and understand the basic intuition behind economic models and to experiment with those models using simulation techniques in MATLAB. This book goes beyond the often-limited scope of other texts on economic models, which have largely focused on elucidating static equilibrium models. Comparative static analysis inhibits students from asking how the equilibrium position is achieved from an initial out-of-equilibrium position and limits their understanding of the dynamics that underlie such analysis. In this textbook, readers are introduced to ten well-established macroeconomic models including Keynesian multiplier models, Samuelson's multiplier and Solow's growth model and guided through the dynamical systems behind each model. Every chapter begins with an overview of the economic problem which the model is designed to help solve followed by an explanation of the mathematics of the moTrade Review "This book is a welcome addition to the literature on economic dynamics. Its clear writing style and the emphasis on coding using MATLAB® make it a compelling text for introducing undergraduate economics students to stability issues, cycles, and growth. The emphasis on both standard models like the Solow growth model and less standard ones such as the Goodwin growth cycle appeal to a broad spectrum of economists in the profession, and the highly competent authors have put years of experience with the material into a highly accessible textbook. I highly recommend the book to anyone willing to incorporate numerical methods into macroeconomic courses."Daniele Tavani, Associate Professor, Colorado State UniversityTable of Contents1. Introduction to Economic Dynamics 2. The Cobweb Model 3. Expectation Dynamics in the Cobweb Model 4. Keynesian Multiplier Model 5. The IS/LM Model 6. Debt, Deficit and Stabilization Policy 7. Expectation Dynamics and Hyperinflation 8. The Dornbusch Exchange Rate Overshooting Model 9. The Solow-Swan Growth Model 10. An Endogenous Growth Model 11. Business Cycles I: Samuelson’s Multiplier-Accelerator Model 12. Business Cycles II: The Real Business Cycle Model Appendix A. Difference and Differential Equations Appendix B. Matlab Codes

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Book SynopsisRevised to reflect recent developments in the field, Phase Transformation in Metals and Alloys, Fourth Edition, continues to be the most authoritative and approachable resource on the subject. It supplies a comprehensive overview of specific types of phase transformations, supplemented by practical case studies of engineering alloys. The book's unique presentation links a basic understanding of theory with application in a gradually progressive yet exciting manner. Based on the authors' teaching notes, the text takes a pedagogical approach and provides examples for applications and problems that can be readily used for exercises.NEW IN THE FOURTH EDITION 40% of the figures and 30% of the text Insights provided by numerical modelling techniques such as ab initio, phase field, cellular automaton, and molecular dynamics Insights from the application of advanced experimental techniques, such as hTable of Contents1. Thermodynamics and Phase Diagrams 2. Diffusion 3. Crystal Interfaces and Microstructure 4. Solidification 5. Diffusional Transformations in Solids 6. Diffusionless Martensitic Transformations

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Book SynopsisThe photon, an abstract concept belonging to a global vacuum, only manifests itself duringinteraction with matter. Fundamentals of Photon Physics describes the richly faceted, basic theoryof photon-matter interaction, selecting a wide number of topics. Together with the author's bookLight -- The Physics of the Photon (CRC, 2014), both written on a scholarly level, the reader isgiven a comprehensive exposition of photon wave mechanics, quantum optics and quantumelectrodynamics (QED).Divided into 10 parts, the book begins by exploring the relation between photon wave mechanicsand quantum field theory. It then describes the theories of zero- and one-photon states andthat of bi-photons. After discussing conservation laws, Lagrangian formulations, geometricphase and topology, the author turns towards the theory of photon scattering, emphasizing adensity matrix operator approach and the role of microscopic extinction th

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Book SynopsisThis reference book describes the exact solutions of the following types of mathematical equations:? Algebraic and Transcendental Equations ? Ordinary Differential Equations ? Systems of Ordinary Differential Equations ? First-Order Partial Differential Equations ? Linear Equations and Problems of Mathematical Physics ? Nonlinear Equations of Mathematical Physics ? Systems of Partial Differential Equations ? Integral Equations ? Difference and Functional Equations ? Ordinary Functional Differential Equations ? Partial Functional Differential EquationsThe book delves into equations that find practical applications in a wide array of natural and engineering sciences, including the theory of heat and mass transfer, wave theory, hydrodynamics, gas dynamics, combustion theory, elasticity theory, general mechanics, theoretical physics, nonlinear optics, biology, chemical engineering sciences, ecology, and more. Most of these equations

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Book SynopsisMachine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics.The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additivTrade Review"Machine learning is considered promising for investment management applications, yet the associated low signal to noise ratio presents a high bar for improving on the incumbent quant asset management tooling. The book of Coqueret and Guida is a treat for those who do not want to lose sight of the machine learning forest for the trees. Whether you are an academic scholar or a finance practitioner, you will learn just what you need to rigorously investigate machine learning techniques for factor investing applications, along with plenty of useful code snippets." -Harald Lohre, Executive Director of Research at Robeco and Honorary Researcher at Lancaster University Management School"Written by two experts on quantitative finance, this book covers everything from basic materials to advanced techniques in the field of quantitative investment strategies: data processing, alpha signal generation, portfolio optimization, backtesting and performance evaluation. Concrete examples related to asset management problems illustrate each machine learning technique, such as neural network, lasso regression, autoencoder or reinforcement learning. With more than 20 coding exercises and solutions provided in Python, this publication is a must for both students, academics and professionals who are looking for an up-to-date technical exposition on quantitative asset management from basic smart beta portfolios to enhanced alpha strategies including factor investing."-Thierry Roncalli, Head of Quantitative Portfolio Strategy at Amundi Institute, Amundi Asset ManagementTable of ContentsPart 1. Introduction 1. Notations and data 2. Introduction 3. Factor investing and asset pricing anomalies 4. Data preprocessing Part 2. Common supervised algorithms 5. Penalized regressions and sparse hedging for minimum variance portfolios 6. Tree-based methods 7. Neural networks 8. Support vector machines 9. Bayesian methods Part 3. From predictions to portfolios 10. Validating and tuning 11. Ensemble models 12. Portfolio backtesting Part 4. Further important topics 13. Interpretability 14. Two key concepts: causality and non-stationarity 15. Unsupervised learning 16. Reinforcement learning Part 5. Appendix 17. Data description 18. Solutions to exercises

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Book SynopsisHigh-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computingâ that can be used without much expertise and expense â to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Waveâs quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems. Table of ContentsPart I: Computationally Expensive Problems in the Financial Industry 1. Computationally Expensive Problems in Investment Banking 2. Using Market Sentiment to Enhance Second-Order Stochastic Dominance Trading Models 3. The Alpha Engine: Designing an Automated Trading Algorithm 4. Portfolio Liquidation and Ambiguity Aversion 5. Challenges in Scenario Generation: Modeling Market and Non-Market Risks in Insurance Part II: Numerical Methods in Financial High-Performance Computing (HPC) 6. Finite Difference Methods for Medium- and High-Dimensional Derivative Pricing PDEs 7. Multilevel Monte Carlo Methods for Applications in Finance 8. Fourier and Wavelet Option Pricing Methods 9. A Practical Robust Long-Term Yield Curve Model 10. Algorithmic Differentiation 11. Case Studies of Real-Time Risk Management via Adjoint Algorithmic Differentiation (AAD) 12. Tackling Reinsurance Contract Optimization by Means of Evolutionary Algorithms and HPC 13. Evaluating Blockchain Implementation of Clearing and Settlement at the IATA Clearing House Part III: HPC Systems: Hardware, Software, and Data with Financial Applications 14. Supercomputers 15. Multiscale Dataflow Computing in Finance 16. Manycore Parallel Computation 17. Practitioner’s Guide on the Use of Cloud Computing in Finance 18. Blockchains and Distributed Ledgers in Retrospective and Perspective 19. Optimal Feature Selection Using a Quantum Annealer

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Book SynopsisIntroduction to the Maths and Physics of Quantum Mechanics details the mathematics and physics that are needed to learn the principles of quantum mechanics.It provides an accessible treatment of how to use quantum mechanics and why it is so successful in explaining natural phenomena. This book clarifies various aspects of quantum physics such as why quantum mechanics equations contain I, the imaginary number?', Is it possible to make a transition from classical mechanics to quantum physics without using postulates?' and What is the origin of the uncertainty principle?'. A significant proportion of discussion is dedicated to the issue of why the wave function must be complex to properly describe our real world.The book also addresses the different formulations of quantum mechanics. A relatively simple introductory treatment is given for the standard Heisenberg matrix formulation and Schrodinger wave-function formulation and Feynman path integrals and second quantTable of ContentsChapter 1: Classical Physics. Chapter 2: The Crisis of Classical Mechanics. Chapter 3: From Classical to Quantum Physics. Chapter 4: Early Quantum Theory: Bohr's Atom. Chapter 5: Schrodinger Equation. Chapter 6: Matrices in Quantum Mechanics. References. Index.

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Book SynopsisProof techniques in cryptography are very difficult to understand, even for students or researchers who major in cryptography. In addition, in contrast to the excessive emphases on the security proofs of the cryptographic schemes, practical aspects of them have received comparatively less attention. This book addresses these two issues by providing detailed, structured proofs and demonstrating examples, applications and implementations of the schemes, so that students and practitioners may obtain a practical view of the schemes.Seong Oun Hwang is a professor in the Department of Computer Engineering and director of Artificial Intelligence Security Research Center, Gachon University, Korea. He received the Ph.D. degree in computer science from the Korea Advanced Institute of Science and Technology (KAIST), Korea. His research interests include cryptography, cybersecurity, networks, and machine learning.Intae Kim is an associate research fellow at the Institute of CybersTable of ContentsPart 1: Foundations of Cryptography. 1. History of Cryptography. 2. Overview of Provable Security. 3. Private Key Encryption. 4. Message Authentication Code. 5. Hash Function. 6. Public Key Cryptography. 7. Digital Signature. 8. Protocols. Part 2: Fundamentals of IBE. 9. First Provable IBE (Boneh-Franklin). 10. Selective Security IBE (Boneh-Boyen). 11. Tight Security IBE (Gentry IBE). 12. Dual System Encryption (Waters). 13. Hierarchical IBE (Allison-Waters). 14. Broadcast Encryption. 15. Identity Based Signature. 16. Transformation Techniques. Part 3: Advanced IBE. 17. Key Policy-Attribute Based Encryption. 18. Ciphertext Policy-Attribute Based Encryption. 19. Predicate Encryption. 20. Functional Encryption. 21. Searchable Encryption. Part 4: Future Cryptography. 22. Certificate Based Cryptography. 23. Certificate-Less Cryptography. 24. Homomorphic Encryption. 25. Post Quantum Cryptography. 26. Blockchain Applications.

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Book SynopsisYour Essential Guide to Quantitative Hedge Fund Investing provides a conceptual framework for understanding effective hedge fund investment strategies. The book offers a mathematically rigorous exploration of different topics, framed in an easy to digest set of examples and analogies, including stories from some legendary hedge fund investors. Readers will be guided from the historical to the cutting edge, while building a framework of understanding that encompasses it all. Features Filled with novel examples and analogies from within and beyond the world of finance Suitable for practitioners and graduate-level students with a passion for understanding the complexities that lie behind the raw mechanics of quantitative hedge fund investment A unique insight from an author with experience of both the practical and academic spheres. Trade ReviewThis wise and lucid treatise explaining the promise and the hazards of alternative hedge fund strategies should be required reading for both investors and students of financial engineering.-Burton G. Malkiel, author of A Random Walk Down Wall Street, 50th anniversary edition.The book covers both the classical works and recent advances in quantitative aspects of hedge fund investing. Broad in scope and commendable in erudition, the book easily earns a prime spot on hedge fund allocator’s proverbial book shelf. Particular focus is rightfully paid to the portfolio construction aspects of hedge fund investing, alpha/beta separation of hedge fund returns, and persistence of those returns more generally. Personal stories covered among other material are a nice touch and make the whole book even more fun to read. In all, a welcome and long overdue addition to the professional literature on this thorny but relevant subject matter.-Alexander Rudin, Ph.D., Global Head of Multi-Asset and Fixed Income Research as State Street Global Advisors. Molyboga and Swedroe have produced a comprehensive guide to the theory and practice of hedge fund investing. From strategy and manager selection to portfolio construction, the book offers rigorous and pragmatic advice. I wish this book existed when I was starting out.-Tobias Carlisle, Managing Director, Acquirers Funds. This book covers a vast range, from classic topics of hedge fund performance sources, biases, and persistence, to smartly constructing hedge fund portfolios, to newer topics like diversity. Wonderful practitioner and expert interviews bring further flesh and color to the subject. I wish I had read this before I wrote my own books.-Antti Ilmanen, Principal, AQR Capital.Molyboga and Swedroe provide a comprehensive and insightful guide to quantitative investing in hedge funds. They explain carefully and lucidly all the technical details of this important area of investing. For each topic, they provide an excellent account of both the empirical evidence and the theory, based on results from the most recent academic research. This book provides the definitive cutting-edge guide for graduate students and investment professionals who wish to acquire a broader and deeper understanding of hedge fund investing. If you are going to read one book on hedge funds, you should read this one.-Raman Uppal, Professor of Finance, EDHEC Business School.The title doesn’t do this book justice. It’s about much more than quantitative hedge fund investing. It also discusses general manager and factor selection, whether performance persists, risk parity vs. traditional investing, even cutting edge topics like machine learning and important less quantitative topics like inclusion and diversity. In particular the interview section of the book was exceptionally informative save the one negative being that I was not an interviewee :) We will correct that in the next edition. The authors tackle this wide range of topics with their typical thoroughness and insight and I recommend this book whole-heartily if you’re interested in the titled subject or just good investing in general.-Cliff Asness, Managing and Founding Principal, AQR Capital Management.A very thorough guide on hedge funds from a refreshing allocator’s perspective. Unlike the many books on hedge funds that take the fund manager’s point of view and inevitably fall short on details for obvious secrecy reasons, this book gets deep into the data and modeling. The allocator’s perspective, and this book in particular, would be my choice for a business school course on hedge funds.-Michael W. Brandt, Kalman J. Cohen Professor of Finance, Fuqua School of Business, Duke University.Finally, a comprehensive guidebook to systematic hedge fund investing that bridges the gap between academic research and the real-world practice of asset management. The authors do a great job de-mystifying popular trading strategies and the statistical tools behind them, zeroing in on the key problem: distinguishing investing skill from luck is fiendishly hard. The "human" side of the book in the form of interviews with practitioners exhibiting a wide diversity of backgrounds and experiences brings a refreshing new perspective on the opaque world of hedge fund investing.-Nikolai Roussanov, Moise Y. Safra Professor of Finance, Wharton Business School, University of Pennsylvania.I learned a lot from this book. There are cautionary histories of hedge funds’ successes and failures, an impressively thorough review of the research on hedge fund performance, and engaging personal stories of hedge fund managers. Each chapter is followed by succinct "key takeaways." My grand takeaway is that investing in hedge funds is complex enough that I would not attempt to find a select set of them for my portfolio without the help of a wise, knowledgeable, and trusted advisor.-Edward Tower, Professor of Economics, Duke University.Hedge funds benefit from a mystique supported by perceptions of exclusivity and outsize performance available only to institutions and wealthy investors. This book takes a much-needed clear eyed approach to evaluating the portfolio value of hedge funds. Backed by dozens of academic studies, the authors provide a realistic evaluation of the headwinds faced by hedge funds hoping to provide value in a market filled with smart traders and barriers to persistence. I know of no other book that provides an equally exhaustive evaluation of the methodologies used to evaluate whether hedge funds are able to improve performance, and whether skilled advisors can select managers that provide value.-Michael Finke, Frank M. Engle Chair of Economic Security at The American College.As someone who teaches quantitative investing, this book is a wonderful resource for practical insight on quantitative methods in investing. Covering a wide range of topics that include portfolio construction, performance evaluation (and its biases), discretionary versus systematic funds, and newer topics on diversity, this book offers a wealth of information and tools for applying quant methods in finance. A wonderful resource for students and practitioners.-Toby Moskowitz, Dean Takahashi Professor of Finance at Yale University and AQR Principal.Well-researched and easy to read, this book is a must-read for all investors considering alternative investments. Grab a copy!-Wesley R. Gray, PhD, CEO of Alpha Architect.Table of Contents1. Introduction To Hedge Funds. 2. Hedge Fund Research And Data. 3. Manager Selection and Hedge Fund Factors. 4. Performance Persistence. 5. From Mean-Variance to Risk Parity. 6. Advanced Portfolio Construction. 7. Expert Hedge Fund Managers. 8. Expert Hedge Fund Investors. 9. Inclusion and Diversity. 10. Conclusion.

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Book SynopsisThis book elucidates the important role of conduction, convection, and radiation heat transfer, mass transport in solids and fluids, and internal and external fluid flow in the behavior of materials processes. These phenomena are critical in materials engineering because of the connection of transport to the evolution and distribution of microstructural properties during processing. From making choices in the derivation of fundamental conservation equations, to using scaling (order-of-magnitude) analysis showing relationships among different phenomena, to giving examples of how to represent real systems by simple models, the book takes the reader through the fundamentals of transport phenomena applied to materials processing. Fully updated, this third edition of a classic textbook offers a significant shift from the previous editions in the approach to this subject, representing an evolution incorporating the original ideas and extending them to a more comprehensive approach to the Table of Contents1. Introduction to Transport Phenomena in Materials Processing. 2. Steady State Conduction Heat Transfer. 3. Transient Conduction Heat Transfer. 4. Mass Diffusion in the Solid State. 5. Fluid Statics. 6. Mechanical Energy Balance in Fluid Flow. 7. Equations of Fluid Motion. 8. Internal Flows. 9. External Flows. 10. Convection Heat Transfer. 11. Mass Transfer in Fluids. 12. Radiation Heat Transfer.

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Book SynopsisFocuses on applications of demographic models, extending to matrix models for stage-classified populations. This book introduces the life table to describe age-specific mortality, and develops theory for stable populations and the rate of population increase. It also introduces reproductive value and the stable equivalent population.Trade ReviewFrom the reviews of the third edition: "If you found the original editions...to be excellent (and who amoung us has not?) then you will find the new edition to be equally so...This book is highly and unreservedly recommended for any beginning mathematical demographer." Mathematical Population Studies, 12:223-228, 2005 "The material in the second edition is retained, although the chapters are reorganized and references are updated. New chapters focusing on matrix population models are seamlessly interwoven with the second edition chapters, resulting in a thorough and comprehensive treatment of human, animal, and nonhuman demography." Journal of the American Statistical Association, December 2005 "The extension from the preceding editions does illustrate well, how demography in general has branched from plain presentations of human life tables into three directions … . The reviewer strongly recommends the book … . demography never has been as important as today. This presentation of techniques (e.g. simple integrations, statistics, straightforward calculation) is essentially simple and powerful and simultaneously well accessible to economists and political scientists. By this book the reader will understand the force of demographic facts and ideas." (Götz Uebe, Allgemeines Statistisches Archiv, Vol. 89, 2005) "The present one is considerably enriched by the contribution of the second author, who is a demographer of plants and nonhuman animals. … the book is of interest not only to demographers, but to any scholar interested in biology. The book is organized in 20 chapters, a Bibliography of almost 700 entries and an index." (Solomon Marcus, Zentralblatt MATH, Vol. 1104 (6), 2007)Table of ContentsIntroduction: Population Without Age.- The Life Table.- The Matrix Model Framework.- Mortality Comparisons; The Male-Female Ratio.- Fixed Regime of Mortality and Fertility: The Uses of Stable Theory.- Birth and Population Increase from the Life Table.- Birth and Population Increase from Matrix Population Models.- Reproductive Value from the Life Table.- Reproductive Value from Matrix Models.- Understanding Population Characteristics.- Markov Chains for Individual Life Histories.- Projection and Forecasting.- Perturbation Analysis of Matrix Models.- Some Types of Instability.- The Demographic Theory of Kinship.- Microdemography.- The Multi-State Model.- Family Demography.- Heterogeneity and Selection in Population Analysis.- Epilogue: How Do We Know the Facts of Demography?.

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Book Synopsis1. The Sixteenth and Early Seventeenth Centuries.- 1.1. Introduction.- 1.2. Napier and Logarithms.- 1.3. Briggs and His Logarithms.- 1.4. Bürgi and His Antilogarithms.- 1.5. Interpolation.- 1.6. Vieta and Briggs.- 1.7. Kepler.- 2. The Age of Newton.- 2.1. Introduction.- 2.2. Logarithms and Finite Differences.- 2.3. Trigonometric Tables.- 2.4. The Newton-Raphson and Other Iterative Methods.- 2.5. Finite Differences and Interpolation.- 2.6. Maclaurin on the Euler-Maclaurin Formula.- 2.7. Stirling.- 2.8. Leibniz.- 3. Euler and Lagrange.- 3.1. Introduction.- 3.2. Summation of Series.- 3.3. Euler on the Euler-Maclaurin Formula.- 3.4. Applications of the Summation Formula.- 3.5. Euler on Interpolation.- 3.6. Lunar Theory.- 3.7. Lagrange on Difference Equations.- 3.8. Lagrange on Functional Equations.- 3.9. Lagrange on Fourier Series.- 3.10. Lagrange on Partial Difference Equations.- 3.11. Lagrange on Finite Differences and Interpolation.- 3.12. Lagrange on Hidden Periodicities.- 3.13. LagranTable of Contents1. The Sixteenth and Early Seventeenth Centuries.- 1.1. Introduction.- 1.2. Napier and Logarithms.- 1.3. Briggs and His Logarithms.- 1.4. Bürgi and His Antilogarithms.- 1.5. Interpolation.- 1.6. Vieta and Briggs.- 1.7. Kepler.- 2. The Age of Newton.- 2.1. Introduction.- 2.2. Logarithms and Finite Differences.- 2.3. Trigonometric Tables.- 2.4. The Newton-Raphson and Other Iterative Methods.- 2.5. Finite Differences and Interpolation.- 2.6. Maclaurin on the Euler-Maclaurin Formula.- 2.7. Stirling.- 2.8. Leibniz.- 3. Euler and Lagrange.- 3.1. Introduction.- 3.2. Summation of Series.- 3.3. Euler on the Euler-Maclaurin Formula.- 3.4. Applications of the Summation Formula.- 3.5. Euler on Interpolation.- 3.6. Lunar Theory.- 3.7. Lagrange on Difference Equations.- 3.8. Lagrange on Functional Equations.- 3.9. Lagrange on Fourier Series.- 3.10. Lagrange on Partial Difference Equations.- 3.11. Lagrange on Finite Differences and Interpolation.- 3.12. Lagrange on Hidden Periodicities.- 3.13. Lagrange on Trigonometric Interpolation.- 4. Laplace, Legendre, and Gauss.- 4.1. Introduction.- 4.2. Laplace on Interpolation.- 4.3. Laplace on Finite Differences.- 4.4. Laplace Summation Formula.- 4.5. Laplace on Functional Equations.- 4.6. Laplace on Finite Sums and Integrals.- 4.7. Laplace on Difference Equations.- 4.8. Laplace Transforms.- 4.9. Method of Least Squares.- 4.10. Gauss on Least Squares.- 4.11. Gauss on Numerical Integration.- 4.12. Gauss on Interpolation.- 4.13. Gauss on Rounding Errors.- 5. Other Nineteenth Century Figures.- 5.1. Introduction.- 5.2. Jacobi on Numerical Integration.- 5.3. Jacobi on the Euler-Maclaurin Formula.- 5.4. Jacobi on Linear Equations.- 5.5. Cauchy on Interpolation.- 5.6. Cauchy on the Newton-Raphson Method.- 5.7. Cauchy on Operational Methods.- 5.8. Other Nineteenth Century Results.- 5.9. Integration of Differential Equations.- 5.10. Successive Approximation Methods.- 5.11. Hermite.- 5.12. Sums.

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Book SynopsisOtherwise the reader is expected to possess some mathematical maturity, but not really a great deal of detailed mathematical knowledge. An "experiment" is a mathe­ matical abstraction intended to describe the basic features of an observational process if that process is contemplated in advance of its implementation.Table of Contents1 Experiments—Decision Spaces.- 1 Introduction.- 2 Vector Lattices—L-Spaces—Transitions.- 3 Experiments—Decision Procedures.- 4 A Basic Density Theorem.- 5 Building Experiments from Other Ones.- 6 Representations—Markov Kernels.- 2 Some Results from Decision Theory: Deficiencies.- 1 Introduction.- 2 Characterization of the Spaces of Risk Functions: Minimax Theorem.- 3 Deficiencies; Distances.- 4 The Form of Bayes Risks—Choquet Lattices.- 3 Likelihood Ratios and Conical Measures.- 1 Introduction.- 2 Homogeneous Functions of Measures.- 3 Deficiencies for Binary Experiments: Isometries.- 4 Weak Convergence of Experiments.- 5 Boundedly Complete Experiments.- 6 Convolutions: Hellinger Transforms.- 7 The Blackwell-Sherman-Stein Theorem.- 4 Some Basic Inequalities.- 1 Introduction.- 2 Hellinger Distances: L1-Norm.- 3 Approximation Properties for Likelihood Ratios.- 4 Inequalities for Conditional Distributions.- 5 Sufficiency and Insufficiency.- 1 Introduction.- 2 Projections and Conditional Expectations.- 3 Equivalent Definitions for Sufficiency.- 4 Insufficiency.- 5 Estimating Conditional Distributions.- 6 Domination, Compactness, Contiguity.- 1 Introduction.- 2 Definitions and Elementary Relations.- 3 Contiguity.- 4 Strong Compactness and a Result of D. Lindae.- 7 Some Limit Theorems.- 1 Introduction.- 2 Convergence in Distribution or in Probability.- 3 Distinguished Sequences of Statistics.- 4 Lower-Semicontinuity for Spaces of Risk Functions.- 5 A Result on Asymptotic Admissibility.- 8 Invariance Properties.- 1 Introduction.- 2 The Markov—Kakutani Fixed Point Theorem.- 3 A Lifting Theorem and Some Applications.- 4 Automatic Invariance of Limits.- 5 Invariant Exponential Families.- 6 The Hunt-Stein Theorem and Related Results.- 9 Infinitely Divisible, Gaussian, and Poisson Experiments.- 1 Introduction.- 2 Infinite Divisibility.- 3 Gaussian Experiments.- 4 Poisson Experiments.- 5 A Central Limit Theorem.- 10 Asymptotically Gaussian Experiments: Local Theory.- 1 Introduction.- 2 Convergence to a Gaussian Shift Experiment.- 3 A Framework which Arises in Many Applications.- 4 Weak Convergence of Distributions.- 5 An Application of a Martingale Limit Theorem.- 6 Asymptotic Admissibility and Minimaxity.- 11 Asymptotic Normality—Global.- 1 Introduction.- 2 Preliminary Explanations.- 3 Construction of Centering Variables.- 4 Definitions Relative to Quadratic Approximations.- 5 Asymptotic Properties of the Centerings $$\hat{Z}$$.- 6 The Asymptotically Gaussian Case.- 7 Some Particular Cases.- 8 Reduction to the Gaussian Case by Small Distortions.- 9 The Standard Tests and Confidence Sets.- 10 Minimum ?2 and Relatives.- 12 Posterior Distributions and Bayes Solutions.- 1 Introduction.- 2 Inequalities on Conditional Distributions.- 3 Asymptotic behavior of Bayes Procedures.- 4 Approximately Gaussian Posterior Distributions.- 13 An Approximation Theorem for Certain Sequential Experiments.- 1 Introduction.- 2 Notations and Assumptions.- 3 Basic Auxiliary Lemmas.- 4 Reduction Theorems.- 5 Remarks on Possible Applications.- 14 Approximation by Exponential Families.- 1 Introduction.- 2 A Lemma on Approximate Sufficiency.- 3 Homogeneous Experiments of Finite Rank.- 4 Approximation by Experiments of Finite Rank.- 5 Construction of Distinguished Sequences of Estimates.- 15 Sums of Independent Random Variables.- 1 Introduction.- 2 Concentration Inequalities.- 3 Compactness and Shift-Compactness.- 4 Poisson Exponentials and Approximation Theorems.- 5 Limit Theorems and Related Results.- 6 Sums of Independent Stochastic Processes.- 16 Independent Observations.- 1 Introduction.- 2 Limiting Distributions for Likelihood Ratios.- 3 Conditions for Asymptotic Normality.- 4 Tests and Distances.- 5 Estimates for Finite Dimensional Parameter Spaces.- 6 The Risk of Formal Bayes Procedures.- 7 Empirical Measures and Cumulatives.- 8 Empirical Measures on Vapnik-?ervonenkis Classes.- 17 Independent Identically Distributed Observations.- 1 Introduction.- 2 Hilbert Spaces Around a Point.- 3 A Special Role for $$\sqrt{n}$$: Differentiability in Quadratic Mean.- 4 Asymptotic Normality for Rates Other than $$\sqrt{n}$$.- 5 Existence of Consistent Estimates.- 6 Estimates Converging at the $$\sqrt{n}$$-Rate.- 7 The Behavior of Posterior Distributions.- 8 Maximum Likelihood.- 9 Some Cases where the Number of Observations Is Random.- Appendix: Results from Classical Analysis.- 1 The Language of Set Theory.- 2 Topological Spaces.- 3 Uniform Spaces.- 4 Metric Spaces.- 5 Spaces of Functions.- 6 Vector Spaces.- 7 Vector Lattices.- 8 Vector Lattices Arising from Experiments.- 9 Lattices of Numerical Functions.- 10 Extensions of Positive Linear Functions.- 11 Smooth Linear Functionals.- 12 Derivatives and Tangents.

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Book SynopsisSolitons were discovered by John Scott Russel in 1834, and have interested scientists and mathematicians ever since. Topics covered include mathematical and numerical aspects of solitons, as well as applications of solitons to nuclear and particle physics, cosmology, and condensed-matter physics.Table of Contents1 Berry Phase and Dissipation of Topological Singularities.- 2 Normal Mode Spectra of Multi-Skyrmions.- 3 Standard-Model Dirac Particles Trapped in Flat (Noncompact) Higher Dimensions.- 4 Planar QED in Magnetic or Electric Solitonic Backgrounds.- 5 Collective Coordinates and Inequivalent Coset Space Quantizations.- 6 Spatial Solitons of the Nonlinear Schrödinger Equation of Arbitrary Nonlinearity with a Potential Hill.- 7 Hairs on the Unicorn: Fine Structure of Monopoles and Other Solitons.- 8 A Model for Partially Polarized Quantum Hall States.- 9 Ordering Dynamics of Topological Defect Networks.- 10 Gauge Theory Description of Spin Chains and Ladders.- 11 Soliton Solutions of the Integrable Chiral Model in (2+1) Dimensions.- 12 String Winding Modes From Charge Nonconservation in Compact Chern-Simons Theory.- 13 Holes in the Charge Density of Topological Solitons.- 14 From Two-dimensional Black Holes to sine-Gordon Solitons.- 15 Solitons and Exciton Superfluidity.- 16 Quantum Effects on Higgs Winding Configurations.- 17 Solitons and Their Moduli Spaces.- 18 Deformed Skyrmions.- 19 The Large-Nc Renormalization Group.- 20 Instantons in Nonirreducible Representations of the Lorentz Group.- 21 Fermion Vacuum Effects on Soliton Stability.- 22 Soliton Solutions of the ?-Model and Disoriented Chiral Condensates.- 23 Dynamics of Topological Magnetic Solitons.- 24 Fun with Baby-Skyrmions.- 25 Skyrmions and Domain Walls.- 26 Fun with Electroweak Solitons.- 27 Neutral and Charged Spin Excitations in the Quantum Hall Ferromagnet.- 28 Quantum Corrections to Monopoles.- 29 Nonabelian Dyons.- 30 Electroweak Baryon Properties in Soliton Models.- 31 Solitons, Duality, and Supersymmetric Gauge Theories.- 32 Solitonic Strings and Knots.- 33 Toward a String Formulation of Vortex Dynamics.- 34 Domain Walls in a Chern-Simons Theory.- 35 Microphysics of Gauge Vortices and Baryogenesis.- 36 On a Dual Standard Model.- 37 From Skyrmions to the Nucleon-Nucleon Potential.- 38 Two-dimensional Solitons at Finite Temperature.- 39 Nontopological Structures in the Baby-Skyrme Model.

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Book SynopsisBasic Statistics for Social Research offers an introduction to core general statistical concepts and methods. It covers procedural aspects of the application of statistical methods for data-description; and hypothesis-testing; distributions, tabulations, central tendency, variability, independence, correlation and regression.Table of ContentsTables and Figures ix Preface xv About the Authors xix Part I Univariate Description 1 Chapter 1 Using Statistics 3 Why Study Statistics? 4 Tasks for Statistics: Describing, Inferring, Testing, Predicting 4 Statistics in the Research Process 9 Basic Elements of Research: Units of Analysis and Variables 14 Chapter 2 Displaying One Distribution 25 Summarizing Variation in One Variable 26 Frequency Distributions for Nominal Variables 26 Frequency Distributions for Ordinal Variables 32 Frequency Distributions for Interval/Ratio Variables 38 Summarizing Data Using Excel 43 Chapter 3 Central Tendency 81 The Basic Idea of Central Tendency 82 The Mode 83 The Median 88 The Mean 95 Chapter 4 Dispersion 113 The Basic Idea of Dispersion 114 Dispersion of Categorical Data 115 Dispersion of Interval/Ratio Data 121 Chapter 5 Describing the Shape of a Distribution 149 The Basic Ideas of Distributional Shape 150 The Shape of Nominal and Ordinal Distributions 152 Unimodality 158 Skewness 163 Kurtosis 169 Some Common Distributional Shapes 175 Chapter 6 The Normal Distribution 187 Introduction to the Normal Distribution 188 Properties of Normal Distributions 189 The Standard Normal, or Z, Distribution 192 Working with Standard Normal (Z) Scores 194 Finding Areas “Under the Curve” 197 Part II Inference and Hypothesis Testing 209 Chapter 7 Basic Ideas of Statistical Inference 211 Introduction to Statistical Inference 212 Sampling Concepts 214 Central Tendency Estimates 219 Assessing Confidence in Point Estimates 229 Chapter 8 Hypothesis Testing for One Sample 247 Hypothesis Testing 248 The Testing Process 250 Tests about One Mean 258 Tests about One Proportion 267 Chapter 9 Hypothesis Testing for Two Samples 279 Comparing Two Groups 280 Comparing Two Groups’ Means 280 Comparing Two Groups’ Proportions 289 Non independent Samples 296 Using Excel for Two-Sample Tests 301 Interpreting Group Differences 302 Chapter 10 Multiple Sample Tests of Proportions: Chi-Squared 313 Comparing Proportions across Several Groups 314 Testing for Multiple Group Differences 315 Describing Group Differences 327 Chapter 11 Multiple Sample Tests for Means: One-Way ANOVA 337 Comparing Several Group Means with Analysis of Variance 338 Analyzing Variance and the F-Test 339 Analyzing Variance 342 The F-Test 350 Comparing Means 356 Part III Association and Prediction 369 Chapter 12 Association with Categorical Variables 371 The Concept of Statistical Association 372 Association with Nominal Variables 375 Association with Ordinal Variables 391 Chapter 13 Association of Interval/Ratio Variables 425 Visualizing Interval/Ratio Association 426 Significance Testing for Interval/Ratio Association 434 Chapter 14 Regression Analysis 453 Predicting Outcomes with Regression 454 Simple Linear Regression 454 Applying Simple Regression Analysis 465 Multiple Regression 469 Applying Multiple Regression 474 Chapter 15 Logistic Regression Analysis 489 Predicting with Nonlinear Relationships 490 Logistic Regression 492 The Logistic Regression Model 492 Interpreting Effects in Logistic Regression 493 Estimating Logistic Regression Models with Maximum Likelihood 495 Applying Logistic Regression 496 Assessing Partial Effects 498 Extending Logistic Regression 499 Appendix Chi-Squared Distribution: Critical Values for Commonly Used Alpha=0.05 and Alpha=0.01 505 F-Distribution: Critical Values for Commonly Used Alpha=0.05 and Alpha=0.01 507 Standard Normal Scores (Z-Scores), and Cumulative Probabilities (Proportion of Cases Having Scores below Z) 511 Student’s t-Distribution: Critical Values for Commonly Used Alpha Levels 517 Index 519

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Book SynopsisFirst published in 1967, Professor Batchelor's classic text on fluid dynamics is still one of the foremost texts in the subject. The careful presentation of the underlying theories of fluids is still timely and applicable. This re-issue should ensure that a new generation of graduate students see the elegance of Professor Batchelor's presentation.Trade Review'This book gives an excellent introduction to fluid dynamics … many interesting and important photographs of fluid flows are included in order to help the students who do not have an opportunity of observing flow phenomena in a laboratory. The book also contains exercises at the end of each chapter. In comparison with many currently available books, I find this book by Batchelor especially stimulating and useful for students of applied mathematics and engineering.' L. Debnath, Zentralblatt MATH' … a must-read for a proper understanding of the subject …' ResonanceTable of ContentsPreface; Conventions and notation; 1. The physical properties of fluids; 2. Kinematics of the flow field; 3. Equations governing the motion of a fluid; 4. Flow of a uniform incompressible viscous fluid; 5. Flow at large Reynolds number: effects of viscosity; 6. Irrotational flow theory and its applications; 7. Flow of effectively inviscid liquid with vorticity; Appendices.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisAn introduction to the theory of orbifolds from a modern perspective, combining techniques from geometry, algebraic topology and algebraic geometry. The heart of the book is a detailed description of the Chen-Ruan cohomology, which introduces a product for orbifolds and has had significant impact.Table of ContentsIntroduction; 1. Foundations; 2. Cohomology, bundles and morphisms; 3. Orbifold K-theory; 4. Chen-Ruan cohomology; 5. Calculating Chen-Ruan cohomology; Bibliography; Index.

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Book SynopsisDo there exist Lorentzian manifolds all of whose light-like geodesics are periodic? A surprising fact is that such manifolds exist in abundance in (2 + 1)-dimensions (though in higher dimensions they are quite rare). This book deals with the deformation theory of M2,1 (which furnishes almost all the known examples of these objects).Table of Contents*Frontmatter, pg. i*Contents, pg. v*Foreword, pg. 1*Part I. A relativistic approach to Zoll phenomena, pg. 16*Part II. The general theory of Zollfrei deformations, pg. 27*Part III. Zollfrei deformations of M2,1, pg. 53*Part IV. The generalized x-ray transform, pg. 98*Part V. The Floquet theory, pg. 189*Bibliography, pg. 223

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Book SynopsisThis book explains the Lorentz mathematical group in alanguage familiar to physicists. This new edition extends applications tooptical sciences and includes five new chapters on applications in statisticalphysics, condensed matter physics. quantum optics and quantum information and artificialintelligence.

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Book SynopsisFrom selecting shifting points to load transfer in car control and beyond, Fast Car Physics is the ideal source to consult before buckling up and cinching down the belts on your racing harness.Trade ReviewYou don't have to be an engineer to build a fast race car but that certainly helps. Fast Car Physics helps enthusiasts apply the knowledge they gained in high school and college physics courses to the operation and tuning of a track car. Best of all, he does it in a clear and easy-to-follow manner. Grassroots Motorsports 2011 Fans of fast wheels and science alike will get a charge from this look at motor sports. Science News 2011 If motor racing and physics are your thing, you will love this book -- Ken Zetie Physics Education 2011Table of ContentsPrefaceAcknowledgments1. Torque or Horsepower? Finding the Shift Points1.1. Acceleration and Newton's Second Law1.2. Velocity, Speed, Rotation, and Engine rpm1.3. The Car, Horsepower, and Torque1.4. Tire Markings1.5. Calculations1.6. First Gear, It's All Right. Second Gear . . .1.7. Summary2. Horsepower, 0 to 60 mph, and the Quarter Mile2.1. Horsepower2.2. How Does Drag Force Affect Shift Points?2.3. Gear Ratios2.4. Calculating 0 to 60 mph Times2.5. Assumptions and Results2.6. What Is the Limit for 0 to 60 mph?2.7. Aerodynamic Drag2.8. Correction Factors2.9. The Quarter Mile2.10. Flat Torque Curves2.11. Top Fuel Dragsters2.12. Summary3. Finding the Racing Line: Road Racing3.1. The Traction Circle3.2. Ninety Degree Right-Hand Turn3.3. General Turn3.4. Constructing a Track Model3.5. Types of Turns3.6. Type 1 Turn3.7. Type 2 Turn3.8. Type 3 Turn3.9. Turning While Speeding Up3.10. Summary4. Basic Vehicle Dynamics: Load Transfer and Tires4.1. Center of Gravity4.2. Longitudinal and Lateral Center of Gravity4.3. Height of the Center of Gravity4.4. Load Transfer and the Static Stability Factor4.5. Tires and Forces4.6. Tire Construction4.7. Wheels4.8. Tires under Static Load4.9. Tires under Dynamic Load4.10. Contact Patch Friction4.11. Material Properties and Testing4.12. Longitudinal Force and Longitudinal Slip4.13. Lateral Force and the Slip Angle4.14. Aligning Torque4.15. Summary5. Steering and Suspension5.1. More on Steering5.2. Bicycle Model: Oversteer and Understeer5.3. Wheel Alignment5.4. Suspension Basics5.5. Double A-arm or Wishbone Suspension5.6. MacPherson Strut Suspension5.7. NASCAR-Type Solid Rear Axle5.8. Springs and Dampers5.9. Shock Absorbers5.10. Lateral Load Transfer: Advanced Approach5.11. Correcting Handling Problems5.12. Understeer Correction5.13. Oversteer Correction5.14. Summary6. Green Racing6.1. What Is Green Racing?6.2. Regenerative Braking6.3. Mechanical Energy Storage: Flywheels6.4. Mechanical Energy Storage: Batteries6.5. Mechanical Energy Storage: Capacitors6.6. What Type of Hybrid Is It?6.7. Parallel Configuration Hybrid: Toyota Prius6.8. All-Electric Vehicles6.9. Fuel Cells6.10. Alternative Fuels6.11. SummaryConclusionGet Off the Streets and Go Racing!Suggested ReadingIndex

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Book SynopsisPreface to the Third Edition.- Preface to the Second Edition.- Preface to the First Edition.- The Dirac Delta Function and Delta Sequences.- The Schwartz-Sobolev Theory of Distributions.- Additional Properties of Distributions.- Distributions Defined by Divergent Integrals.- Distributional Derivatives of Functions with Jump Discontinuities.- Tempered Distributions and the Fourier Transforms.- Direct Products and Convolutions of Distributions.- The Laplace Transform.- Applications to Ordinary Differential Equations.- Applications to Partial Differential Equations.- Applications to Boundary Value Problems.- Applications to Wave Propagation.- Interplay between Generalized Functions and the Theory of Moments.- Linear Systems.- Miscellaneous Topics.- References.- Index.Trade Review"This book on generalized functions is suitable for physicists, engineers and applied mathematicians. The author presents the notion of generalized functions, their properties and their applications for solving ordinary differential equations and partial differential equations. ... The author demonstrates through various examples that familiarity with generalized functions is very helpful for students in mathematics, physical sciences and technology. The proposed exercises are very good for better understanding of notions and properties presented in the chapters. The book contains new topics and important features." —Mathematica "The advantage of this text is in carefully gathered examples explaining how to use corresponding properties.... Even the standard material connecting with partial and ordinary differential equations is rewritten in modern terminology." —Zentralblatt (Review of a previous edition) "The author has done an excellent job in presenting examples and in displaying the calculational techniques associated with distributions and the applications. Throughout the book there are a wealth of examples concerning the distributional topics and caluclations introduced and concering the applications, and the examples are presented in detail." ---Zentralblatt (Review of the 1st edition) "The collaboration of physicists or engineers and mathematics, which is more and more popular and necessary in modern investigations, requires…a common language. The book under review provides this language…. [It] is a well written book, most of the material is accessible to senior undergraduate and graduate students in mathematical, physical and engineering sciences…. [The] book will [also] be useful…for specialists in ODEs, PDEs, functional analysis, [and] physicists, engineers, and lecturers." —Acta. Sci. Math. (Review of a previous edition) "An exceptionally clear exposition... The exercises at the end of each chapter are well-chosen." —The American Mathematical Monthly (Review of a previous edition) "This fully revised edition of well-received book expands the treatment of fundamental concepts and theoretical background material delineates connections to a variety of applications in mathematical physics, elasticity, wave propagation, magnetohydrodynamics, linear systems, probability and statistics, optical control problems in economics, and more. It has many new topics and [features] driven by additional examples and exercises. . . It presents a wealth of applications that connot be found in any other single source. the book will be important reading for graduate students in physics and engineering." --- Educational Book ReviewTable of ContentsPreface to the Third Edition * Preface to the Second Edition * Preface to the First Edition * Chapter 1. The Dirac Delta Function and Delta Sequences * 1.1 The Heaviside Function * 1.2 The Dirac Delta Function * 1.3 The Delta Sequences * 1.4 A Unit Dipole * 1.5 The Heaviside Sequences * Exercises * Chapter 2. The Schwartz-Sobolev Theory of Distributions * 2.1 Some Introductory Definitions * 2.2 Test Functions * 2.3 Linear Functionals and the Schwartz–Sobolev Theory of Distributions * 2.4 Examples * 2.5 Algebraic Operations on Distributions * 2.6 Analytic Operations on Distributions * 2.7 Examples * 2.8 The Support and Singular Support of a Distribution Exercises * Chapter 3. Additional Properties of Distributions * 3.1 Transformation Properties of the Delta Distributions * 3.2 Convergence of Distributions * 3.3 Delta Sequences with Parametric Dependence * 3.4 Fourier Series * 3.5 Examples * 3.6 The Delta Function as a Stieltjes Integral Exercises * Chapter 4. Distributions Defined by Divergent Integrals * 4.1 Introduction * 4.2 The Pseudofunction H(x)/x n , n = 1, 2,3, * 4.3 Functions with Algebraic Singularity of Order m * 4.4 Examples * Exercises * Chapter 5. Distributional Derivatives of Functions with Jump Discontinuities * 5.1 Distributional Derivatives in R 1 * 5.2 Moving Surfaces of Discontinuity in R n , n 2 * 5.3 Surface Distributions * 5.4 Various Other Representations * 5.5 First-Order Distributional Derivatives * 5.6 Second Order Distributional Derivatives * 5.7 Higher-Order Distributional Derivatives * 5.8 The Two-Dimensional Case * 5.9 Examples * 5.10 The Function Pf ( l/r ) and its Derivatives * Chapter 6. Tempered Distributions and the Fourier Transforms * 6.1 Preliminary Concepts * 6.2 Distributions of Slow Growth (Tempered Distributions) * 6.3 The Fourier Transform * 6.4 Examples * Exercises * Chapter 7. Direct Products and Convolutions of Distributions * 7.1 Definition of the Direct Product * 7.2 The Direct Product of Tempered Distributions * 7.3 The Fourier Transform of the Direct Product of Tempered Distributions * 7.4 The Convolution * 7.5 The Role of Convolution in the Regularization of the Distributions * 7.6 The Dual Spaces E and E' * 7.7 Examples * 7.8 The Fourier Transform of the Convolution * 7.9 Distributional Solutions of Integral Equations * Exercises * Chapter 8. The Laplace Transform * 8.1 A Brief Discussion of the Classical Results * 8.2 The Laplace Transform of the Distributions * 8.3 The Laplace Transform of the Distributional Derivatives and Vice Versa * 8.4 Examples * Exercises * Chapter 9. Applications to Ordinary Differential Equations * 9.1 Ordinary Differential Operators * 9.2 Homogeneous Differential Equations * 9.3 Inhomogeneous Differentational Equations: The Integral of a Distribution * 9.4 Examples * 9.5 Fundamental Solutions and Green's Functions * 9.6 Second Order Differential Equations with Constant Coefficients * 9.7 Eigenvalue Problems * 9.8 Second Order Differential Equations with Variable Coefficients * 9.9 Fourth Order Differential Equations * 9.10 Differential Equations of n th Order * 9.11 Ordinary Differential Equations with Singular Coefficients * Exercises * Chapter 10. Applications to Partial Differential Equations * 10.1 Introduction * 10.2 Classical and Generalized Solutions * 10.3 Fundamental Solutions * 10.4 The Cauchy–Riemann Operator * 10.5 The Transport Operator * 10.6 The Laplace Operator * 10.7 The Heat Operator * 10.8 The Schroedinger Operator * 10.9 The Helmholtz Operator * 10.10 The Wave Operator * 10.11 The Inhomogeneous Wave Equation * 10.12 The Klein–Gordon Operator * Exercises * Chapter 11. Applications to Boundary Value Problems * 11.1 Poisson's Equation * 11.2 Dumbbell-Shaped Bodies * 11.3 Uniform Axial Distributions * 11.4 Linear Axial Distributions * 11.5 Parabolic Axial Distributions * 11.6 The Four-Order Polynomial Distribution, n = 7; Spheroidal Cavities * 11.7 The Polarization Tensor for a Spheroid * 11.8 The Virtual Mass Tensor for a Spheroid * 11.9 The Electric and Magnetic Polarizability Tensors * 11.10 The Distributional Approach to Scattering Theory * 11.11 Stokes Flow * 11.12 Displacement-Type Boundary Value Problems in Elastostatics * 11.13 The Extension to Elastodynamics * 11.14 Distributions on Arbitrary Lines * 11.15 Distributions on Plane Curves * 11.16 Distributions on a Circular Disk * Chapter 12. Applications to Wave Propagation * 12.1 Introduction * 12.2 The Wave Equation * 12.3 First-Order Hyperbolic Systems * 12.4 Aerodynamic Sound Generation * 12.5 The Rankine–Hugoniot Conditions * 12.6 Wave Fronts That Carry Infinite Singularities * 12.7 Kinematics of Wave Fronts * 12.8 Derivation of the Transport Theorems for Wave Fronts * 12.9 Propagation of Wave Fronts Carrying Multilayer Densities * 12.10 Generalized Functions with Support on the Light Cone * 12.11 Examples * Chapter 13. Interplay Between Generalized Functions and the Theory of Moments * 13.1 The Theory of Moments * 13.2 Asymptotic Approximation of Integrals * 13.3 Applications to the Singular Perturbation Theory * 13.4 Applications to Number Theory * 13.5 Distributional Weight Functions for Orthogonal Polynomials * 13.6 Convolution Type Integral Equations Revisited * 13.7 Further Applications * Chapter 14. Linear Systems * 14.1 Operators * 14.2 The Step Response * 14.3 The Impulse Response * 14.4 The Response to an Arbitrary Input * 14.5 Generalized Functions as Impulse Response Functions * 14.6 The Transfer Function * 14.7 Discrete-Time Systems * 14.8 The Sampling Theorem * Chapter 15. Miscellaneous Topics * 15.1 Applications to Probability and Statistics * 15.2 Applications to Mathematical Economics * 15.3 Periodic Generalized Functions * 15.4 Microlocal Theory * References * Index

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Book SynopsisA concise treatment of the fundamentals of thermodynamics is presented in this book. In particular, emphasis is placed on discussions of the second law, a unique feature of thermodynamics, which states the limitations of converting thermal energy into mechanical energy. The entropy function that permits the loss in the potential of a real thermodynamic process to be assessed, the maximum possible work in a process, and irreversibility and equilibrium are deduced from the law through physical and intuitive considerations. They are applicable in mitigating waste heat and are useful for solving energy, power, propulsion and climate-related issues.The treatment is not restricted to properties and functions of ideal gases. The ideal gas assumption is invoked as a limiting case. Reversible paths between equilibrium states are obtained using reversible heat engines and reversible heat pumps between environment and systems to determine the entropy changes and the maximum work. The coTable of Contents1. Fundamental Concepts. 2. Equation of State. 3. First Law of Thermodynamics. 4. Second Law of Thermodynamics. 5. Entropy. 6. Reversible Work, Availability and Irreversibility. 7. Thermodynamic State Functions. 8. Thermodynamic Coefficients and Specific Heats. 9. Thermodynamic Equilibrium. 10. Equilibrium of Species in a Chemically Reacting System. 11. Statistical Thermodynamics.

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Book SynopsisBasics of Ramsey Theory serves as a gentle introduction to Ramsey theory for students interested in becoming familiar with a dynamic segment of contemporary mathematics that combines ideas from number theory and combinatorics. The core of the of the book consists of discussions and proofs of the results now universally known as Ramsey's theorem, van der Waerden's theorem, Schur's theorem, Rado's theorem, the HalesJewett theorem, and the Happy End Problem of Erdos and Szekeres. The aim is to present these in a manner that will be challenging but enjoyable, and broadly accessible to anyone with a genuine interest in mathematics.Features Suitable for any undergraduate student who has successfully completed the standard calculus sequence of courses and a standard first (or second) year linear algebra course Filled with visual proofs of fundamental theorems Contains numerous exercises (with their solutions) acceTable of Contents1. Introduction: Pioneers and Trailblazers. 1.1. Complete Disorder is Impossible. 1.2 Paul Erdős. 1.3. Frank Plumpton Ramsey. 1.4 Ramsey Theory. 2. Ramsey’s Theorem. 2.1. The Pigeonhole Principle. 2.2. Acquaintances and Strangers. 2.3. Ramsey’s Theorem for Graphs. 2.4. Ramsey’s Theorem: Infinite Case. 2.5. Ramsey’s Theorem: General Case. 2.6. Exercises. 3. van der Waerden’s Theorem. 3.1. Bartel van der Waerden. 3.2. van der Waerden’s Theorem: 3–Term Arithmetic Progressions. 3.3. Proof of van der Waerden’s Theorem. 3.4. van der Waerden’s Theorem: How Far and Where? 3.5. van der Waerden’s Theorem: Some Related Questions. 3.6. Exercises. 4. Schur’s Theorem and Rado’s Theorem. 4.1 Issai Schur. 4.2. Schur’s Theorem. 4.3. Richard Rado. 4.4 Rado’s Theorem. 4.5. Exercises. 5. The Hales–Jewett Theorem. 5.1. Combinatorial Lines. 5.2. Generalized Tic–Tac–Toe Game. 5.3. The Hales–Jewett Theorem. 5.4. Exercises. 6. Happy End Problem. 6.1. The Happy End Problem: Triangles, Quadrilaterals, and Pentagons. 6.2. The Happy End Problem – General Case. 6.3. Erdős–Szekeres’ Upper and Lower Bounds. 6.4. Progress on the Conjecture OF Erdős and Szekeres. 6.5. Exercises. 7. Solutions.

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Book SynopsisThis fully updated and expanded new edition continues to provide the most readable, concise, and easy-to-follow introduction to thermal physics.While maintaining the style of the original work, the book now covers statistical mechanics and incorporates worked examples systematically throughout the text. It also covers more problems, and incorporates some essential updates, such as discussions on superconductivity, magnetism, Bose-Einstein condensation, and climate change.Anyone who needs to acquire an intuitive understanding of thermodynamics from the first principles will find this third edition indispensable.Selling Pointsâ Provides the most concise and accessible introduction to thermodynamics starting from first principles, with many more worked examples and problems.â Incorporates statistical mechanics in two brand-new chapters.â Systematically incorporates more worked examples after introducing a new concept to show what the results mean numerically.â Continues to address the subtleties in a way unmatched by any other text, for topics such as the meaning of thermodynamic functions.â Offers a significant update on areas such as superconductivity, magnetism, Bose-Einstein condensation, climate change, and physics of information.Andrew Rex is a professor of physics at the University of Puget Sound in Tacoma, Washington. He earned a BA in physics at Illinois Wesleyan University in 1977 and a PhD in physics at the University of Virginia in 1982. At Virginia he worked under the direction of Bascom S. Deaver Jr on the development of new superconducting materials. After completing requirements for his PhD, he joined the faculty at Puget Sound. Dr Rexâs primary research interest is in the foundations of the second law of thermodynamics. He has published research articles and, jointly with Harvey Leff, two comprehensive monographs on the subject of Maxwellâs demon (1990, 2003). Dr Rex has coauthored several widely used textbooksâModern Physics for Scientists and Engineers (1993, 2000, 2006, 2013, 2021), Integrated Physics and Calculus (2000), and Essential College Physics (2010, 2021)âand the popular science book Commonly Asked Questions in Physics, also published by Taylor & Francis/CRC Press.

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Book SynopsisThis book is one of its own kind. It is not an encyclopedia or a hands-on tutorial that traps readers in the tutorial hell. It is a distillation of just one common Python user's learning experience. The experience is packaged with exceptional teaching techniques, careful dependence unraveling and, most importantly, passion.Learning Advanced Python by Studying Open Source Projects helps readers overcome the difficulty in their day-to-day tasks and seek insights from solutions in famous open source projects. Different from a technical manual, this book mixes the technical knowledge, real-world applications and more theoretical content, providing readers with a practical and engaging approach to learning Python.Throughout this book, readers will learn how to write Python code that is efficient, readable and maintainable, covering key topics such as data structures, algorithms, object-oriented programming and more. The author's passion for Python shines through in tTable of ContentsIntroductionChapter 1 ◾ The Data Model of PythonChapter 2 ◾ Selected Topics of Python ClassesChapter 3 ◾ Concurrency in PythonChapter 4 ◾ Asynchronous Programming in PythonChapter 5 ◾ Power Up Your Python FunctionsChapter 6 ◾ Selected OOP Design Best PracticesChapter 7 ◾ Testing in a Pistachio Shell

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Book SynopsisMachine learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards computer science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of machine learning and look ahead to applica- tions and advancements in their fields.This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those from the physical sciences, without a formal background in computer science. It demon- strates how machine learning can be used to solve problems in physics and engineering, targeting senior undergraduate and graduate students in physics and electrical engineering, alongside advanced researchers.All codes are available on the author''s website: CLab (nau.edu)They areTable of ContentsChapter 1: Multivariate Calculus. Chapter 2: Probability Theory. Chapter 3: Dimensionality Reduction. Chapter 4: Cluster Analysis. Chapter 5: Vector Quantization Techniques. Chapter 6: Regression Models. Chapter 7: Classification. Chapter 8: Feedforward Networks. Chapter 9: Advanced Network Architectures. Chapter 10: Value Methods. Chapter 11: Gradient Methods. Chapter 12: Population-Based Metaheuristic Methods. Chapter 13: Local Search methods. Appendix A: Sufficient Statistic. Appendix B: Graphs. Appendix C: Sequential Minimization Optimization. Appendix D: Algorithmic Differentiation. Appendix E: Batch Normalizing Transform. Appendix F: Divergence of Two Gaussian Distributions. Appendix G: Continuous-time Bellman's Equation. Appendix H: Conjugate Gradient. Appendix I: Importance Sampling. References. Index.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisWhy do we get certain diseases, whereas other diseases do not exist?In this book, Alon, one of the founders of systems biology, builds a foundation for systems medicine.Starting from basic laws, the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them.By the end, the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores, in three parts, hormone circuits, immune circuits, and aging and age-related disease. It culminates in a periodic table of diseases.Alon writes in a style accessible to a broad range of readers - undergraduates, graduates, or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper, the book includes dozens of exercises that have been Trade Review"Systems Medicine is a masterpiece. Written in a conversational style, it invites us to think about health and disease in a profoundly simple new way. From the secrets of aging to the enigma of autoimmune diseases, Uri Alon uses physiological circuits and the principles that underlie them to illuminate how our bodies work, why specific diseases occur, and what strategies might be used to treat them. Whether you're a curious mind, a biology enthusiast, or just someone excited to understand the magnificent orchestra of life, this book has something extraordinary to offer. To my mind, it’s nothing short of revolutionary."—Steven Strogatz, Cornell University, USA, author of Nonlinear Dynamics and Chaos"Uri Alon has once again opened our eyes to a new frontier of quantitative thinking, this time applied to medicine. Systems Medicine is a masterpiece of clear interdisciplinary exposition, suitable for interested students and researchers with minimal mathematical or physiological background. Its inspiring narrative, accompanied by engaging exercises, explains how the recent application of dynamical systems methods to diabetes, stress, ageing, and autoimmune disorders resolves long-standing puzzles in medicine. This book is destined to be as influential as his earlier Systems Biology, along with potentially important impacts on human health."—Nigel Goldenfeld, University of California San Diego, USA"This unique book will benefit an unusually broad range of students, scientists, and medical professionals. If you have a background in math, physics, or engineering, you will learn key concepts in physiology and medicine presented in the familiar language of dynamical systems. If your background is in biomedical sciences, you will learn how to build and employ powerful mathematical models to unveil hidden patterns behind disease vulnerabilities. Either way, Uri Alon will masterfully guide you to new insights into the underlying logic of physiological systems and their susceptibility to diseases."—Ruslan Medzhitov, Yale University, USA"This book will be as influential and transformative as Alon’s Systems Biology. Its quantitative approach provides new insight into the mechanisms that underline common diseases. It should be of interest to students and researchers in medicine, biology, and engineering. It will introduce quantitative analysis to medical students, interesting medical problems to engineers, and catalyze a new synthesis of “systems medicine”. Alon is a pioneer and leading expert in systems biology. He is now pioneering a new field with this book."—Liqun Luo, Stanford University, USA"This book is a paradigm-shifting journey elegantly guiding readers to perceive health and disease through a new lens. By weaving together multiple disciplines, from mathematics to biology and medicine, Alon paints a vivid picture of how our understanding of biological networks and their dynamics can revolutionize medical approaches. Using simple concepts coupled with real-world examples, the book offers a comprehensive exploration of physiological circuits and exemplifies the practical applications of Systems Medicine. With insightful clarity, Alon distills intricate scientific concepts into digestible insights, making this book accessible to both seasoned researchers and curious minds new to the field."—Galit Lahav, Harvard University, USA“Uri Alon does an excellent job of introducing physiological concepts and mathematical tools in a precise yet friendly manner. The biological examples are relevant, spanning from the dynamic modelling of insulin-glucose to ageing. Together with a captivating and never boring style, they bring to life the complex and fascinating world of Systems Medicine. The exercises at the end of the chapters are an added bonus, allowing the reader to practice and reflect on biological and mathematical problems. Overall, this book is a welcome introduction to the basic principles of Systems Medicine.”—Edoardo Saccenti, Wageningen University & Research, The NetherlandsPraise for An Introduction to Systems Biology: Design Principles of Biological Circuits"…a superb, beautifully written and organized work that takes an engineering approach to systems biology. … He does an excellent job of explaining and motivating a useful toolbox of engineering models and methods using network-based controls. … a valuable and non-overlapping addition to a systems-biology curriculum."—Eric Werner, University of Oxford, Nature, Vol. 446, No. 29, March 2007"I read Uri Alon’s elegant book almost without stopping for breath. He perceives and explains so many simple regularities, so clearly, that the novice reading this book can move on immediately to research literature, armed with a grasp of the many connections between diverse phenomena."—Philip Nelson, University of Pennsylvania, Philadelphia, USA"… Beyond simply recounting recent results, Alon boldly articulates the basic principles underlying biological circuitry at different levels and shows how powerful they can be in understanding the complexity of living cells. For anyone who wants to understand how a living cell works, but thought they never would, this book is essential."—Michael B. Elowitz, California Institute of Technology, Pasadena, USA"Uri Alon offers a highly original perspective on systems biology, emphasizing the function of certain simple networks that appear as ubiquitous building blocks of living matter. …"—Boris Shraiman, University of California, Santa Barbara, USA"Systems biology is based on the idea that engineered and evolved systems share common principles. Here, Alon (Weizmann Inst. of Science, Rehovot) elucidates three of the major principles... This book is a compendium of many different experiments. Together, they show that biological systems do obey these design principles."—P. Cull, Oregon State University, CHOICE connect (57:5, Jan 2020)"A very good book. Very well written, everything is clearly illustrated and presented. It makes a tough subject easy to follow."—Radu Angelescu, Senior Programmer at Ubisoft"Alon’s book is the ideal counterargument to the idea that organisms are inherently human-opaque: it directly demonstrates the human-understandable structures which comprise real biological systems."—LessWrong.comTable of ContentsIntroduction. Part I Hormone Circuits. Chapter 1 The Insulin-Glucose Circuit. Chapter 2 Dynamical Compensation, Mutant Resistance, and Type-2 Diabetes. Chapter 2.5 Three Laws of Physiology. Chapter 3 The Stress Hormone Axis as a Two-Gland Oscillator. Chapter 3.5 The Thyroid and Its Discontents. Part II Immune Circuits. Chapter 4 Autoimmune Diseases as a Fragility of Mutant Surveillance. Chapter 5 Inflammation and Fibrosis as a Bistable System. Chapter 6 Basic Facts of Aging. Chapter 7 Aging and Saturated Repair. Chapter 8 Age-Related Diseases. Chapter 9 Periodic Table of Diseases. EPILOGUE: SIMPLICITY IN SYSTEMS MEDICINE. ACKNOWLEDGMENTS. INDEX.

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Book SynopsisThis is a how to guide for making beginning calculations in modern physics. The academic level is second year college physical science and engineering students. The calculations are performed in Mathematica, and stress graphical visualization, units, and numerical answers. The techniques show the student how to learn the physics without being hung up on the math. There is a continuing movement to introduce more advanced computational methods into lower-level physics courses. Mathematica is a unique tool in that code is written as human readable much like one writes a traditional equation on the board.Key Features:Concise summary of the physics concepts.Over 300 worked examples in Mathematica.Tutorial to allow a beginner to produce fast results.The companion code for this book can be found here:Table of Contents1. Basis of Modern Physics 2. Thermal Radiation 3. Key Processes 4. Special Relativity 5. Bohr Model 6. Particle in a Box 7. Quantum Harmonic Oscillator 8. Hydrogen Atom 9. Statistical Physics 10. Astrophysics Appendix A: Mathematica Starter Appendix B: Physical Constants

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Book SynopsisThe number e, the function ex, the logarithmic function in (x) and different hyperbolic functions like cosh (x), sinh (x) make frequent appearances in science and engineering textbooks. Students often fail to appreciate the significance of these mathematical symbols. This book clearly illustrates why such abstract mathematical entities are needed to represent some aspects of physical reality. It provides an overview of different types of numbers and functions along with their historical background and applications. It contains four chapters covering number system, exponential function, logarithmic functions and hyperbolic functions along with the concept of complex angle.Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)Table of Contents1. On Different Types of Numbers 1.1 The beginning of the journey 1.2 Extension of Number Field 1.2.1 Negative Number 1.2.2 Fraction and Rational Number 1.2.3 Irrational Number 1.2.4 Imaginary (or Quadrature Number) 1.2.5 Quaternion 1.2.6 Infinitesimal and Hyper-real Numbers; Bibliography2. On e & ex 2.1 Introduction 2.2 Backdrop in which e emerged as the outcome of continuous compounding 2.3 Outcome of decrease through continuous compounding 2.4 e as an infinite series 2.5 Proof of convergence of two sequences of e 2.6 Proof of Irrationality of e 2.7 Function ex 2.8 Interesting features of exponential functions ex and emx 2.9 Story of snails or an informal explanation of e1 vis-à-vis ei 2.9.1 e as a distance travelled along a road 2.9.2 ei as a distance travelled in a field 2.10 General function eiθ = limn→∞(1 + iθ/n )n 2.11 Infinite series representation of cos θ and sin θ 2.12 Raising the power of e by complex angle (α + iθ) 2.13 Rotating vector and concept of complex frequency 2.14 cos θ and sin θ in terms of exponential functions 2.15 Ellipse from two rotating planar vectors 2.16 Problems related to division of a number 2.16.1 Maximisation of the function x x 2.16.2 Dividing a number into several equal parts such that their product is maximum 2.17 Minimisation of the function xx 2.18 Computation of ii 2.19 Examples of 1st order differential equation 2.20 Example of 2nd order differential equation 2.21 Miscellaneous examples 2.21.1 Radioactive Disintegration 2.21.2 Advance of Chemical Reaction 2.21.3 Logistic growth 2.22 Matrix Exponential eA 2.23 Chronology of development of concepts related to e ; Bibliography 3. Logarithm 3.1 Introduction 3.2 Logarithm as artificial numbers facilitating computation 3.3 Logarithmic Function as an integral 3.4 A story of the historical development of logarithm as an area 3.5 Reverse Problem 3.6 Some useful properties of logarithmic functions 3.7 Expressing logarithm as a series 3.7.1 Alternate Method of Derivation of Logarithmic Series 3.7.2 Searching for a method with a higher rate of convergence 3.7.3 Further improvement of the method described in section 3.7.2 3.8 Logarithmic curves 3.8.1 Observations on the curve for the function y = ln x 3.8.2 Curve for the function y = ln(–x ) and y = ln |x | 3.9 Leibnitz-Gregory Series for π 3.10 Schellbach’s modified series for π 3.11 Logarithm as a limit of a product 3.12 Torricelli’s Trumpet 3.13 Logarithm of a complex number 3.14 Resolving an apparent contradiction 3.15 Applications 3.15.1 Inductance of a two wire line3.15.2 Capacitance of a two wire line 3.15.3 Loudness of sound 3.15.4 Magnitude of earthquake 3.15.5 Acidity of a substance 3.16 Chronology of development of the concepts related to logarithm; Bibliography 4. Concept of Complex Angle and Hyperbolic Functions 4.1 Introduction 4.2 Angle in terms of the area swept over during rotation 4.3 Vector viewpoint and the concept of imaginary angle 4.4 Angle due to stretching or shrinking and the concept of real angle 4.5 Complex Angle 4.6 Hyperbolic angle and Hyperbolic Functions for a hyperbola 4.7 Area swept by a straight line moving over a hyperbola 4.8 From the hyperbola x 2 – y 2 = 1 to the hyperbola u.v = 1126 4.9 Calculation of hyperbolic angle from the curve v = 1/u 4.10 The tip of a straight line moving over the curve v = 1/u 129 4.11 Trigonometric functions of imaginary variable and Hyperbolic functions 4.12 Trigonometric and Hyperbolic functions of complex angle α + iβ 4.13 Applications 4.13.1 A DC Voltage Source (V) is switched on to an LC circuit 4.13.2 A DC Voltage Source is switched on to a RLC circuit 4.13.3 Catenary 4.13.4 A Leaky Direct Current Line 4.13.5 Dynamics of moving bodies 4.14 Graphs of different hyperbolic functions 4.15 Are the hyperbolic functions periodic? 4.16 Expressions for inverse hyperbolic functions 4.17 Infinite series representation of cosh x and sinh x 4.18 Historical Development of the concept of hyperbolic functions ; Bibliography

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Book SynopsisGraphs & Digraphs, Seventh Edition masterfully employs student-friendly exposition, clear proofs, abundant examples, and numerous exercises to provide an essential understanding of the concepts, theorems, history, and applications of graph theory. This classic text, widely popular among students and instructors alike for decades, is thoroughly streamlined in this new, seventh edition, to present a text consistent with contemporary expectations.Changes and updates to this edition include: A rewrite of four chapters from the ground up Streamlining by over a third for efficient, comprehensive coverage of graph theory Flexible structure with foundational Chapters 16 and customizable topics in Chapters 711 Incorporation of the latest developments in fundamental graph theory Statements of recent groundbreaking discoveries, even if proofs are beyond scope Completely reorganized chapters on traversability, connectiviTable of Contents1 Graphs 1.1 Fundamentals 1.2 Isomorphism 1.3 Families of graphs 1.4 Operations on graphs 1.5 Degree sequences 1.6 Path and cycles 1.7 Connected graphs and distance 1.8 Trees and forests 1.9 Multigraphs and pseudographs 2 Digraphs 2.1 Fundamentals 2.2 Strongly connected digraphs 2.3 Tournaments 2.4 Score sequences 3 Traversability 3.1 Eulerian graphs and digraphs 3.2 Hamiltonian graphs 3.3 Hamiltonian digraphs 3.4 Highly hamiltonian graphs 3.5 Graph powers 4 Connectivity 4.1 Cut-vertices, bridges, and blocks 4.2 Vertex connectivity 4.3 Edge-connectivity 4.4 Menger's theorem 5 Planarity 5.1 Euler's formula 5.2 Characterizations of planarity 5.3 Hamiltonian planar graphs 5.4 The crossing number of a graph 6 Coloring 6.1 Vertex coloring 6.2 Edge coloring 6.3 Critical and perfect graphs 6.4 Maps and planar graphs 7 Flows 7.1 Networks 7.2 Max-flow min-cut theorem 7.3 Menger's theorems for digraphs 7.4 A connection to coloring 8 Factors and covers 8.1 Matchings and 1-factors 8.2 Independence and covers 8.3 Domination 8.4 Factorizations and decompositions 8.5 Labelings of graphs 9 Extremal graph theory 9.1 Avoiding a complete graph 9.2 Containing cycles and trees 9.3 Ramsey theory 9.4 Cages and Moore graphs 10 Embeddings 10.1 The genus of a graph 10.2 2-Cell embeddings of graphs 10.3 The maximum genus of a graph 10.4 The graph minor theorem 11 Graphs and algebra 11.1 Graphs and matrices 11.2 The automorphism group 11.3 Cayley color graphs 11.4 The reconstruction problem

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Book SynopsisPuzzle and Proof: A Decade of Problems from the Utah Math Olympiad is a compilation of the problems and solutions for the first 10 years of the Utah Math Olympiad. The problems are challenging but should be understandable at a high school level. Besides putting all problems in one place (70 in total), which have not previously appeared in print, the book provides additional inspiration for many of the problems and will contain the first published solutions for 10 problems that were originally published on the contest flyer. The book will be a fantastic resource for anyone who enjoys mathematical and/or logic puzzles or is interested in studying for mathematics competitions.Features 70 carefully designed, high-quality high-school level math proof problems, with full solutions Detailed pictures and diagrams throughout to aid understanding Suitable for anyone with high school-level mathematics skills with an interest in furth

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