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Computer science; Mathematics

Most popular at the top

  • Advances in Interdisciplinary Applied Discrete Mathematicsby Hemanshu Kaul; Henry Martyn Mulder

    World Scientific Publishing Company 2010; US$ 124.00

    In the past 50 years, discrete mathematics has developed as a far-reaching and popular language for modeling fundamental problems in computer science, biology, sociology, operations research, economics, engineering, etc. The same model may appear in different guises, or a variety of models may have enough similarities such that same ideas and techniques... more...

  • Algebra and Coalgebra in Computer Scienceby Till Mossakowski; Ugo Montanari; Magne Haveraaen

    Springer 2007; US$ 84.95

    This book constitutes the refereed proceedings of the Second International Conference on Algebra and Coalgebra in Computer Science, CALCO 2007, held in Bergen, Norway in August 2007. The 26 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 57 submissions. Addressing two basic areas of application... more...

  • Discrete Mathematics DeMYSTiFiedby Steven Krantz

    McGraw-Hill Education 2008; US$ 25.00

    MULTIPLY 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... more...

  • Probability and Statistics for Computer Scienceby James L. Johnson

    Wiley 2011; US$ 259.00

    Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra... more...

  • Discrete Calculus by Analogyby F. A. Izadi; N. Aliev; G. Bagirov

    Bentham Science Publishers 2009; US$ 22.00

    With its origins stretching back several centuries, discrete calculus is now an increasingly central methodology for many problems related to discrete systems and algorithms. The topics covered here usually arise in many branches of science and technology, especially in discrete mathematics, numerical analysis, statistics and probability theory as... more...

  • Sets, Logic and Maths for Computingby David Makinson

    Springer 2012; US$ 39.95

    This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and recursion/induction; but it is also partly quantitative, with principles of counting and finite probability. Entwined... more...

  • Numerical and Symbolic Scientific Computingby Ulrich Langer; Peter Paule

    Springer 2011; US$ 189.00

    The book presents the state of the art and results and also includes articles pointing to future developments. Most of the articles center around the theme of linear partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra, and finite... more...

  • A Feature-Centric View of Information Retrievalby Donald Metzler

    Springer Berlin Heidelberg 2011; US$ 129.00

    In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results... more...

  • A Proof Theory for Description Logicsby Alexandre Rademaker

    Springer London 2012; US$ 59.95

    Description Logics (DLs) is a family of formalisms used to represent knowledge of a domain. They are equipped with a formal logic-based semantics. Knowledge representation systems based on description logics provide various inference capabilities that deduce implicit knowledge from the explicitly represented knowledge. A Proof Theory for Description... more...