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Computer science; Mathematics

  • Mathematics for Informatics and Computer Scienceby Pierre Audibert

    Wiley 2013; US$ 135.00

    How many ways do exist to mix different ingredients, how many chances to win a gambling game, how many possible paths going from one place to another in a network ? To this kind of questions Mathematics applied to computer gives a stimulating and exhaustive answer. This text, presented in three parts (Combinatorics, Probability, Graphs) addresses all... more...

  • Sets, Logic and Maths for Computingby David Makinson

    Springer 2012; US$ 31.99

    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$ 79.99

    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...

  • Probability with Rby Jane Horgan

    Wiley 2011; US$ 110.00

    A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming... more...

  • Probability and Statistics for Computer Scienceby James L. Johnson

    Wiley 2011; US$ 243.00

    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...

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

    World Scientific Publishing Company 2010; US$ 117.00

    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...

  • Discrete Calculusby Leo J. Grady; Jonathan R. Polimeni

    Springer 2010; US$ 99.99

    The field of discrete calculus, also known as 'discrete exterior calculus', focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. In contrast to traditional goals of finding an accurate discretization of conventional multivariate... more...

  • Building Bridgesby Martin Grötschel; Gyula O.H. Katona

    Springer 2010; US$ 129.99

    Discrete mathematics and theoretical computer science are closely linked research areas with strong impacts on applications and various other scientific disciplines. Both fields deeply cross fertilize each other. One of the persons who particularly contributed to building bridges between these and many other areas is Laszlo Lovasz, a scholar whose... more...

  • Decision Systems and Nonstochastic Randomnessby V. I. Ivanenko

    Springer 2010; US$ 79.99

    Presents the mathematical formalization of the statistical regularities of non-stochastic randomness and demonstrates how these regularities extend the standard probability-based model of decision making under uncertainty, allowing for the description of uncertain mass events that do not fit standard stochastic models. more...