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Concept Data Analysisby Claudio Carpineto; Giovanni Romano
John Wiley & Sons, Ltd. 2004; US$ 140.00With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data Analysis: Theory & Applications is the first book that provides a comprehensive treatment of the full range of algorithms available for conceptual data analysis, spanning creation, maintenance, display and manipulation of concept lattices. The accompanying website allows you to gain a greater understanding of the principles covered in the book through actively working on the topics discussed. The three main areas... more...
A Computational Introduction to Number Theory and Algebraby Victor Shoup
Cambridge University Press 2005; US$ 52.00This book can serve several purposes. It can be used as a reference and for self-study by readers who want to learn the mathematical foundations of modern cryptography. It is also ideal as a textbook for introductory courses in number theory and algebra, especially those geared towards computer science students. more...
The Geometry of Information Retrievalby C. J. van Rijsbergen
Cambridge University Press 2004; US$ 70.00The author shows how different models of information retrieval can be combined in the same framework used to formulate quantum mechanics. The relation with quantum computing is also examined. Appendices with background on physics and mathematics are included. This is an important, ground-breaking book, with much new and original material. more...
Discrete Mathematics with Applicationsby Thomas Koshy
Elsevier 2003; US$ 97.95This approachable text studies discrete objects and the relationsips that bind them. It helps students understand and apply the power of discrete math to digital computer systems and other modern applications. It provides excellent preparation for courses in linear algebra, number theory, and modern/abstract algebra and for computer science courses in data structures, algorithms, programming languages, compilers, databases, and computation. * Covers all recommended topics in a self-contained, comprehensive, and understandable format for students and new professionals * Emphasizes problem-solving techniques, pattern recognition, conjecturing, induction, applications of varying nature, proof techniques, algorithm development and correctness,... more...
Introduction to Precise Numerical Methodsby Oliver Aberth
Elsevier 2007; US$ 87.95Precise numerical analysis may be defined as the study of computer methods for solving mathematical problems either exactly or to prescribed accuracy. This book explains how precise numerical analysis is constructed. It includes a CD-ROM which contains executable Windows XP programs for the PC and which demonstrates how these programs can be used to solve typical problems of elementary numerical analysis with precision. The book also provides exercises which illustrate points from the text and references for the methods presented. · Clearer, simpler descriptions and explanations of the various numerical methods · Windows based software · Two new types of numerical problems; accurately solving partial differential equations with the included... more...
Extending the Horizonsby Edward Baker; Anito Joseph; Anuj Mehrotra; Michael Trick
Springer-Verlag New York Inc 2007; US$ 139.00Presents the research in design and analysis of algorithms, computational optimization, heuristic search and learning, modeling languages, parallel and distribution computing, simulation, computational logic and visualization. This book emphasizes a variety of novel applications in the interface of CS, AI, and OR/MS. more...
Physics and Theoretical Computer Scienceby J.-P. Gazeau; J. Ne?etril; B. Rovan
IOS Press 2007; US$ 144.00Aims to reinforce the interface between physical sciences, theoretical computer science, and discrete mathematics. This book assembles theoretical physicists and specialists of theoretical informatics and discrete mathematics in order to learn about developments in cryptography, algorithmics, and more. more...
Stochastic Relationsby Ernst-Erich Doberkat
Taylor & Francis 2007; US$ 99.95Collecting information previously scattered throughout the vast literature, including the author's own research, Stochastic Relations: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov transition systems. After an introduction to the basic mathematical tools from topology, measure theory, and categories, the book examines the central topics of congruences and morphisms, applies these to the monoidal structure, and defines bisimilarity and behavioral equivalence within this framework. The author views developments from the general theory of coalgebras in the context of the subprobability functor. These tools show that bisimilarity and behavioral and logical equivalence are the same... more...
Discrete Mathematics DeMYSTiFiedby Steven Krantz
McGraw-Hill 2008; US$ 24.95MULTIPLY your chances of understanding DISCRETE MATHEMATICS. If you're interested in learning the fundamentals of discrete mathematics but can't seem to get your brain to function, then here's your solution. Add this easy-to-follow guide to the equation and calculate how quickly you learn the essential concepts. Written by award-winning math professor Steven Krantz, Discrete Mathematics Demystified explains this challenging topic in an effective and enlightening way. You will learn about logic, proofs, functions, matrices, sequences, series, and much more. Concise explanations, real-world examples, and worked equations make it easy to understand the material, and end-of-chapter exercises and a final exam help reinforce learning.... more...
Optimization Techniques for Solving Complex Problemsby Enrique Alba; Christian Blum; Pedro Asasi; Coromoto Leon; Juan Antonio Gomez
John Wiley & Sons, Inc. 2009; US$ 141.00Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and... more...









