Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

Quantum computers hold the promise of solving problems that would otherwise be intractable with conventional computers. Some prototypes of the simplest elements needed to build a quantum computer have already been implemented in the laboratory. The efforts now concentrate on combining these elements into scalable systems. In addition, alternative routes to creating large scale quantum computers are continuously being developed.

This book arose from a series of courses on computer algebra which were given at Eindhoven Technical University. Its chapters present a variety of topics in computer algebra at an accessible (upper undergraduate/graduate) level with a view towards recentdevelopments. For those wanting to acquaint themselves somewhat further with the material, the book also contains seven 'projects', which could serve as practical sessions related to one or more chapters. The contributions focus on topics like Gröbner bases, real algebraic geometry, Lie algebras, factorisation of polynomials, integer programming, permutation groups, differential equations, coding theory, automatic theorem proving, and polyhedral geometry. This book is a must-read for everybody interested in computer algebra.

Computers, Chess, and Cognition presents an excellent up-to-date description of developments in computer chess, a rapidly advancing area in artificial intelligence research. This book is intended for an upper undergraduate and above level audience in the computer science (artificial intelligence) community. The chapters have been edited to present a uniform terminology and balanced writing style, to make the material understandable to a wider, less specialized audience. The book's primary strengths are the description of the workings of some major chess programs, an excellent review of tree searching methods, discussion of exciting new research ideas, a philosophical discussion of the relationship of computer game playing to artificial intelligence, and the treatment of computer Go as an important new research area. A complete index and extensive bibliography makes the book a valuable reference work. The book includes a special foreword by Ken Thompson, author of the UNIX operating system.

As an educator, researcher, and book author, I am delighted to see the completion of this book. Python is a fun and extremely easy-to-use programming language that has steadily gained in popularity over the last few years. Developed over ten years ago by Guido van Rossum, Python's simple syntax and overall feel is largely derived from ABC, a teaching language that was developed in the 1980's. However, Python was also created to solve real problems and it borrows a wide variety of features from programming languages such as C++, Java, Modula-3, and Scheme. Because of this, one of Python's most remarkable features is its broad appeal to professional software developers, scientists, researchers, artists, and educators

This book was based on Allen Downey's How to Think Like a Computer Scientist, a clear and helpful first-year computer science textbook, which was also released under GNU Free Documentation License. The book's goal is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Python was chosen to translate Allen's original Java version because it provides a really nice balance between the practical and the conceptual. Since Python is interpreted, beginners can pick up the language and start doing neat things almost immediately without getting lost in the problems of compilation and linking. Furthermore, Python comes with a large library of modules that can be used to do all sorts of tasks ranging from web-programming to graphics. Having such a practical focus is a great way to engage students and it allows them to complete significant projects.

Computers and the Law provides readers with an introduction to the legal issues associated with computing - particularly in the massively networked context of the Internet. Assuming no previous knowledge of the law or any special knowledge of programming or computer science, this textbook offers undergraduates of all disciplines and professionals in the computing industry an understanding of basic legal principles and an awareness of the peculiarities associated with legal issues in cyberspace. This book introduces readers to the fundamental workings of the law in physical space and suggests the opportunity to create new types of laws with nontraditional goals.

This introduction to programming places computer science in the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process. This approach fosters a variety of skills — critical reading, analytical thinking, creative synthesis, and attention to detail — that are important for everyone, not just future computer programmers. The book exposes readers to two fundamentally new ideas. First, it presents program design guidelines that show the reader how to analyze a problem statement; how to formulate concise goals; how to make up examples; how to develop an outline of the solution, based on the analysis; how to finish the program; and how to test. Each step produces a well-defined intermediate product. Second, the book comes with a novel programming environment, the first one explicitly designed for beginners. The environment grows with the readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. All the book's support materials are available for free on the Web. The Web site includes the environment, teacher guides, exercises for all levels, solutions, and additional projects.

With compelling insights and illuminating examples, the author reveals how Web sites, software applications, and mobile devices can be used to change people’s attitudes and behavior.

This book's introduction features a humorous story of a man with a line of people behind him, who explains to his boss, "I can't find an efficient algorithm, but neither can all these famous people." This man illustrates an important quality of a class of problems, namely, the NP-complete problems: if you can prove that a problem is in this class, then it has no known polynomial-time solution that is guaranteed to work in general. This quality implies that the problem is difficult to deal with in practice.

Computer algebra systems are gaining more and more importance in all areas of science and engineering. This textbook gives a thorough introduction to the algorithmic basis of the mathematical engine in computer algebra systems. It is designed to accompany one- or two-semester courses for advanced undergraduate or graduate students in computer science or mathematics. Its comprehensiveness and authority make it also an essential reference for professionals in the area.

The World Wide Web, the first global networked information service that is truly friendly, is probably the fastest growing technological phenomenon in the history of the human race (except maybe gambling).

This book explains the basics of WLAN technology, how to install and set up a basic WLAN system, and key security options that should be considered.

Provides a detailed examination of computer science and technology, including a chronology of significant events in computing, a listing of achievements in the field, and brief descriptions and contact information for important organizations in the computer field. Major corporations and organizations in the computer field are covered, as well as many new biographies.

In this course, we will study some mathematical models and problems associated with basic problems in computer vision and digital image processing. The mathematical models are set up with various mathematical theories, ranging from Bayesian inference approach, Markov random fields, variational calculus, scale space theory, partial differential equations, to stochastic differential equations.

Color Theory and Modeling for Computer Graphics, Visualization, and Multimedia Applications deals with color vision and visual computing. This book provides an overview of the human visual system with an emphasis on color vision and perception. The book then goes on to discuss how human color vision and perception are applied in several applications using computer-generated displays, such as computer graphics and information and data visualization. Color Theory and Modeling for Computer Graphics, Visualization, and Multimedia Applications is suitable as a secondary text for a graduate-level course on computer graphics, computer imaging, or multimedia computing and as a reference for researchers and practitioners developing computer graphics and multimedia applications.

Pocket PC Network Programming is the resource developers need to exploit the power of mobile technology and high-speed wireless connections. This book is a comprehensive tutorial and reference for writing network applications on Pocket PC 2002 and Pocket PC 2002 Phone Edition devices. It explains how the Pocket PC communicates with the Internet, with other mobile devices, and with networks. It teaches developers the basics of Pocket PC telephony, synchronization, and messaging.

Engineers around the world depend on MATLAB for its power, usability, and outstanding graphics capabilities. Yet too often, engineering students are either left on their own to acquire the background they need to use MATLAB, or they must learn the program concurrently within an advanced course. Both of these options delay students from solving realistic design problems, especially when they do not have a text focused on applications relevant to their field and written at the appropriate level of mathematics.Ideal for use as a short-course textbook and for self-study Elementary Mathematical and Computational Tools for Electrical and Computer Engineers Using MATLAB fills that gap. Accessible after just one semester of calculus, it introduces the many practical analytical and numerical tools that are essential to success both in future studies and in professional life. Sharply focused on the needs of the electrical and computer engineering communities, the text provides a wealth of relevant exercises and design problems. Changes in MATLAB's version 6.0 are included in a special addendum.The lack of skills in fundamental quantitative tools can seriously impede progress in one's engineering studies or career. By working through this text, either in a lecture/lab environment or by themselves, readers will not only begin mastering MATLAB, but they will also hone their analytical and computational skills to a level that will help them to enjoy and succeed in subsequent electrical and computer engineering pursuits.