Unfortunately, the subject has gained a notorious reputation for difficulty, with forbidding looking mathematics and a peculiar diagrammatic language described in an array of unforgiving, weighty textbooks aimed firmly at aspiring professionals. However, quantum field theory is too important, too beautiful, and too engaging to be restricted to the professionals. This book on quantum field theory is designed to be different. It is written by experimental physicists and aims to provide the interested amateur with a bridge from undergraduate physics to quantum field theory. The imagined reader is a gifted amateur, possessing a curious and adaptable mind, looking to be told an entertaining and intellectually stimulating story, but who will not feel patronised if a few mathematical niceties are spelled out in detail. Using numerous worked examples, diagrams, and careful physically motivated explanations, this book will smooth the path towards understanding the radically different and revolutionary view of the physical world that quantum field theory provides, and which all physicists should have the opportunity to experience.To request a copy of the Solutions Manual, visit http: //global.oup.com/uk/academic/physics/ad....

    Each chapter contains integrated worked examples and chapter tests. This edition has the ancillary ATLAST computer exercise guide and new MATLAB and Maple guides.

    A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

    Myerson introduces, clarifies, and synthesizes the extraordinary advances made in the subject over the past fifteen years, presents an overview of decision theory, and comprehensively reviews the development of the fundamental models: games in extensive form and strategic form, and Bayesian games with incomplete information.Game Theory will be useful for students at the graduate level in economics, political science, operations research, and applied mathematics. Everyone who uses game theory in research will find this book essential.

    The first part deals with basic ideas, reviewing special relativity and electromagnetism while introducing the concept of extra dimensions. D-branes and the classical dynamics of relativistic strings are discussed next, and the quantization of open and closed bosonic strings in the light-cone gauge, along with a brief introduction to superstrings. The second part begins with a detailed study of D-branes followed by string thermodynamics. It discusses possible physical applications, and covers T-duality of open and closed strings, electromagnetic fields on D-branes, Born/Infeld electrodynamics, covariant string quantization and string interactions. Primarily aimed as a textbook for advanced undergraduate and beginning graduate courses, it will also be ideal for a wide range of scientists and mathematicians who are curious about string theory.

    Offering time-tested problems, conceptual and visual pedagogy, and a state-of-the-art media package, this 11th edition looks to the future of university physics, in terms of both content and approach.

    We have learned little from the cataclysms of September 11 and Hurricane Katrina. When it comes to catastrophe, America is living on borrowed time-and squandering it. In this new book, leading security expert Stephen Flynn issues a call to action, demanding that we wake up and prepare immediately for a safer future. The truth is acts of terror cannot always be prevented, and nature continues to show its fury in frighteningly unpredictable ways. Resiliency, argues Flynn, must now become our national motto. With chilling frankness and clarity, Flynn paints an all too real scenario of the threats we face within our own borders. A terrorist attack on a tanker carrying liquefied natural gas into Boston Harbor could kill thousands and leave millions more of New Englanders without power or heat. The destruction of a ship with a cargo of oil in Long Beach, California, could bring the West Coast economy to its knees and endanger the surrounding population. But even these all-too-plausible terrorist scenarios pale in comparison to the potential destruction wrought by a major earthquake or hurricane. Our growing exposure to man-made and natural perils is largely rooted in our own negligence, as we take for granted the infrastructure handed down to us by earlier generations. Once the envy of the world, this infrastructure is now crumbling. After decades of neglect, our public health system leaves us at the mercy of microbes that could kill millions in the next flu pandemic. Flash flooding could wipe out a fifty-year-old dam north of Phoenix, placing thousands of homes and lives at risk. The next San Francisco earthquake could destroy century-old levees, contaminating the freshwater supply that most of California relies on for survival. It doesn't have to be this way. "The Edge of Disaster "tells us what we can do about it, as individuals and as a society. We can-and, Flynn argues, we must-construct a more resilient nation. With the wounds of recent national tragedies still unhealed, the time to act is now. Flynn argues that by tackling head-on, eyes open the perils that lie before us, we can remain true to our most important and endearing national trait: our sense of optimism about the future and our conviction that we can change it for the better for ourselves-and our children. "Steve Flynn offers the answer not only to protecting America from terrorist attacks and natural disaster but also to revitalizing our democracy. This book is a must-read for all members of Congress, 2008 presidential candidates, and ordinary citizens who want to build a better and safer future."-Anne-Marie Slaughter, dean, Woodrow Wilson School of Public and International Affairs, Princeton University Advance praise for "The Edge of Disaster" "Steve Flynn has done it again. Like America the Vulnerable before it, "The Edge of Disaster" is the must-read book for every American, elected official, and presidential candidate who is committed to ensuring that our nation continue to thrive in perilous times."-Mark Warner, former governor of Virginia "Since 9/11, protecting our nation against a terrorist attack has consumed policy makers in Washington. What Stephen Flynn points out in The Edge of Disaster is that much of this effort has been directed overseas, often at the expense of our homeland and its much more likely areas of vulnerability. Laying out a series of potential disasters both manmade and natural, Flynn calls for a greater emphasis on preparedness and the ability of communities and the nation to recover. Painting an often frustrating and infuriating picture of missed opportunities, "The Edge of Disaster "is a call to action. The time to act is now. We can only hope that policy makers are listening." -Christine Todd Whitman, former governor of New Jersey and former administrator, Environmental Protection Agency (2001-03) "Steve Flynn's book makes the very persuasive argument that national security preparedness is linked to natural disaster preparedness. By investing significantly in our critical infrastructure, in citizen preparedness, and most importantly in leadership, we can be better prepared for all hazards. A great book that I highly recommend." -James Lee Witt, former director, Federal Emergency Management Agency "Steve Flynn has become a relentless contributor to the dialogue on prioritizing the work of the post-9/11 security environment. "The Edge of Disaster" calls into question the neglect of domestic preparedness in favor of the Department of Defense-driven offensive in the global war on terrorism. The book offers provocative challenges to both our elected and our private-sector leaders, and both should read it thoroughly." -Admiral James M. Loy, former commandant, U.S. Coast Guard, and former deputy secretary of homeland security

    These sections together make an appropriate one-term advanced/graduate level course (mathematical prerequisites: vector analysis and simple partial-differential equations). The book is printed to make it easy for readers to identify these sections.• The remaining Track 2 material provides a wealth of advanced topics instructors can draw from to flesh out a two-term course, with Track 1 sections serving as prerequisites.

     Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including: difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields. For those interested in learning more about probability and statistics.

    The Fourth Edition of volumes 1 and 2 is concerned with mechanics and E&M/Optics. New features include: expanded coverage of classic physics topics, substantial increases in the number of in-text examples which reinforce text exposition, the latest pedagogical and technical advances in the field, numerical analysis, computer-generated graphics, computer projects and much more.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    QFT is the only physics theory that makes sense and that dispels or resolves the paradoxes of relativity and quantum mechanics that have confused and mystified so many people.

    These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.

    One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

    Shilov, Professor of Mathematics at the Moscow State University, covers determinants, linear spaces, systems of linear equations, linear functions of a vector argument, coordinate transformations, the canonical form of the matrix of a linear operator, bilinear and quadratic forms, Euclidean spaces, unitary spaces, quadratic forms in Euclidean and unitary spaces, finite-dimensional algebras and their representations, with an appendix on categories of finite-dimensional spaces.The author begins with elementary material and goes easily into the advanced areas, covering all the standard topics of an advanced undergraduate or beginning graduate course. The material is presented in a consistently clear style. Problems are included, with a full section of hints and answers in the back.Keeping in mind the unity of algebra, geometry and analysis in his approach, and writing practically for the student who needs to learn techniques, Professor Shilov has produced one of the best expositions on the subject. Because it contains an abundance of problems and examples, the book will be useful for self-study as well as for the classroom.