Recommendations based on "Statistical Physics"

¿Intended for use in one/two-semester introductory courses in vibration for undergraduates in Mechanical Engineering, Civil Engineering, Aerospace Engineering and Mechanics. This text is also suitable for readers with an interest in Mechanical Engineering, Civil Engineering, Aerospace Engineering and Mechanics.Serving as both a text and reference manual, Engineering Vibration, 4e, connects traditional design-oriented topics, the introduction of modal analysis, and the use of MATLAB, Mathcad, or Mathematica. The author provides an unequaled combination of the study of conventional vibration with the use of vibration design, computation, analysis and testing in various engineering applications.

The Table of Integrals, Series, and Products is the essential reference for integrals in the English language. Mathematicians, scientists, and engineers, rely on it when identifying and subsequently solving extremely complex problems. Since publication of the first English-language edition in 1965, it has been thoroughly revised and enlarged on a regular basis, with substantial additions and, where necessary, existing entries corrected or revised. The seventh edition includes a fully searchable CD-Rom.- Fully searchable CD that puts information at your fingertips included with text- Most up to date listing of integrals, series andproducts - Provides accuracy and efficiency in work

Computer Graphics: Principles and Practice, Third Edition, remains the most authoritative introduction to the field. The first edition, the original “Foley and van Dam,” helped to define computer graphics and how it could be taught. The second edition became an even more comprehensive resource for practitioners and students alike. This third edition has been completely rewritten to provide detailed and up-to-date coverage of key concepts, algorithms, technologies, and applications.The authors explain the principles, as well as the mathematics, underlying computer graphics–knowledge that is essential for successful work both now and in the future. Early chapters show how to create 2D and 3D pictures right away, supporting experimentation. Later chapters, covering a broad range of topics, demonstrate more sophisticated approaches. Sections on current computer graphics practice show how to apply given principles in common situations, such as how to approximate an ideal solution on available hardware, or how to represent a data structure more efficiently. Topics are reinforced by exercises, programming problems, and hands-on projects.This revised edition features New coverage of the rendering equation, GPU architecture considerations, and importance- sampling in physically based rendering An emphasis on modern approaches, as in a new chapter on probability theory for use in Monte-Carlo rendering Implementations of GPU shaders, software rendering, and graphics-intensive 3D interfaces 3D real-time graphics platforms–their design goals and trade-offs–including new mobile and browser platforms Programming and debugging approaches unique to graphics developmentThe text and hundreds of figures are presented in full color throughout the book. Programs are written in C++, C#, WPF, or pseudocode–whichever language is most effective for a given example. Source code and figures from the book, testbed programs, and additional content will be available from the authors' website (cgpp.net) or the publisher's website (informit.com/title/9780321399526). Instructor resources will be available from the publisher. The wealth of information in this book makes it the essential resource for anyone working in or studying any aspect of computer graphics.

Now in its second edition, Brain Architecture is the continued exploration of how the brain works. At the very core of our existence, the brain generates our thoughts and feelings, directs our voluntary interactions with the environment, and coordinates all of the vital functions within the body itself. This long-overdue new edition explains this oftentimes daunting intricacy and exquisite detail. The first half of the book discusses the basic parts and how they work, presenting an overview of the nervous system at both the microscopic and macroscopic levels. The approach follows three classic lines of thought that proceed from simple to complex: the history of neuroscience research, the evolution of the nervous system, and the embryological development of the vertebrate central and peripheral nervous systems. The second half of the book outlines the basic wiring diagram of the brain and nervous system-how the parts are interconnected and how they control behavior and the internal state of the body. This is done within the framework of a new four-system network model that greatly simplifies understanding the structure-function organization of the nervous system. Written in clear and sparkling prose, beautifully illustrated, and thoroughly updated, Brain Architecture, Second Edition is must-read for anyone interested in the science of how the brain works.

This edition of Robert Sedgewick and Kevin Wayne’s Algorithms is one of the most popular textbooks on algorithms today and is widely used in colleges and universities worldwide. The algorithms in this book – including 50 algorithms every programmer should know – represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering and for students who use computation in the liberal arts. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.

An Introduction to Dynamic Meteorology, Fourth Edition presents a cogent explanation of the fundamentals of meteorology, and explains storm dynamics for weather-oriented meteorologists. This revised edition features updated treatments on climate dynamics, tropical meteorology, middle atmosphere dynamics, and numerical prediction. It contains a wealth of illustrations to elucidate text and equations, plus end-of-chapter problems. This book is recommended for senior and graduate students in meteorology and atmospheric science, as well as atmospheric scientists desiring a broad overview of dynamical meteorology. Provides clear physical explanations of key dynamical principles Contains a wealth of illustrations to elucidate text and equations, plus end-of-chapter problems Holton is one of the leading authorities in contemporary meteorology, and well known for his clear writing style NEW IN THIS EDITION Updated treatments on climate dynamics, tropical meteorology, middle atmosphere dynamics, and numerical prediction

DIVProfessor R. Shankar, a well-known physicist and contagiously enthusiastic educator, was among the first to offer a course through the innovative Open Yale Course program. His popular online video lectures on introductory physics have been viewed over a million times. In this concise and self-contained book based on his online Yale course, Shankar explains the fundamental concepts of physics from Galileo’s and Newton’s discoveries to the twentieth-century’s revolutionary ideas on relativity and quantum mechanics.   The book begins at the simplest level, develops the basics, and reinforces fundamentals, ensuring a solid foundation in the principles and methods of physics. It provides an ideal introduction for college-level students of physics, chemistry, and engineering, for motivated AP Physics students, and for general readers interested in advances in the sciences./div

R. Shankar, a well-known physicist and contagiously enthusiastic educator, was among the first to offer a course through the innovative Open Yale Course program. His popular online video lectures on introductory physics have been viewed over a million times. In this second book based on his online Yale course, Shankar explains essential concepts, including electromagnetism, optics, and quantum mechanics.The book begins at the simplest level, develops the basics, and reinforces fundamentals, ensuring a solid foundation in the principles and methods of physics. It provides an ideal introduction for college-level students of physics, chemistry, and engineering; for motivated AP Physics students; and for general readers interested in advances in the sciences.

Graphical models, a marriage between probability theory and graph theory, provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering--uncertainty and complexity. In particular, they play an increasingly important role in the design and analysis of machine learning algorithms. Fundamental to the idea of a graphical model is the notion of modularity: a complex system is built by combining simpler parts. Probability theory serves as the glue whereby the parts are combined, ensuring that the system as a whole is consistent and providing ways to interface models to data. Graph theory provides both an intuitively appealing interface by which humans can model highly interacting sets of variables and a data structure that lends itself naturally to the design of efficient general-purpose algorithms. This book presents an in-depth exploration of issues related to learning within the graphical model formalism. Four chapters are tutorial chapters--Robert Cowell on Inference for Bayesian Networks, David MacKay on Monte Carlo Methods, Michael I. Jordan et al. on Variational Methods, and David Heckerman on Learning with Bayesian Networks. The remaining chapters cover a wide range of topics of current research interest.

Noted for its highly readable style, the new edition of this bestseller provides an updated overview of aeronautical and aerospace engineering. Introduction to Flight blends history and biography with discussion of engineering concepts, and shows the development of flight through this perspective. Anderson covers new developments in flight, including unmanned aerial vehicles, uninhabited combat aerial vehicles, and applications of CFD in aircraft design. Many new and revised problems have been added in this edition. Chapter learning features help readers follow the text discussion while highlighting key engineering and industry applications.