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Computational Numerical Analysis Books

You are currently browsing 41–50 of 191 new and published books in the subject of Computational Numerical Analysis — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 5

  1. Classical and Modern Numerical Analysis

    Theory, Methods and Practice

    By Azmy S. Ackleh, Edward James Allen, R. Baker Kearfott, Padmanabhan Seshaiyer

    Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

    Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in...

    Published July 19th 2009 by Chapman and Hall/CRC

  2. Numerical Techniques for Direct and Large-Eddy Simulations

    By Xi Jiang, Choi-Hong Lai

    Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

    Compared to the traditional modeling of computational fluid dynamics, direct numerical simulation (DNS) and large-eddy simulation (LES) provide a very detailed solution of the flow field by offering enhanced capability in predicting the unsteady features of the flow field. In many cases, DNS can...

    Published June 18th 2009 by CRC Press

  3. Mathematical Objects in C++

    Computational Tools in A Unified Object-Oriented Approach

    By Yair Shapira

    Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

    Emphasizing the connection between mathematical objects and their practical C++ implementation, this book provides a comprehensive introduction to both the theory behind the objects and the C and C++ programming. Object-oriented implementation of three-dimensional meshes facilitates understanding...

    Published June 18th 2009 by CRC Press

  4. Decomposition Methods for Differential Equations

    Theory and Applications

    By Juergen Geiser

    Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

    Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It covers real-life problems, the underlying decomposition and discretization, the stability and...

    Published May 19th 2009 by CRC Press

  5. Genetic Algorithms and Genetic Programming

    Modern Concepts and Practical Applications

    By Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham

    Series: Numerical Insights

    Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure...

    Published April 8th 2009 by Chapman and Hall/CRC

  6. Introduction to Grid Computing

    By Frederic Magoules, Jie Pan, Kiat-An Tan, Abhinit Kumar

    Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

    A Thorough Overview of the Next Generation in Computing Poised to follow in the footsteps of the Internet, grid computing is on the verge of becoming more robust and accessible to the public in the near future. Focusing on this novel, yet already powerful, technology, Introduction to Grid Computing...

    Published March 26th 2009 by CRC Press

  7. Introduction to Scientific Programming and Simulation Using R

    By Owen Jones, Robert Maillardet, Andrew Robinson

    Series: Chapman & Hall/CRC The R Series

    Known for its versatility, the free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming. An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to...

    Published March 10th 2009 by Chapman and Hall/CRC

  8. Process Algebra for Parallel and Distributed Processing

    Edited by Michael Alexander, William Gardner

    Series: Chapman & Hall/CRC Computational Science

    Collects the Latest Research Involving the Application of Process Algebra to Computing Exploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning—process algebra—has become a powerful tool for solving design and...

    Published December 21st 2008 by Chapman and Hall/CRC

  9. Solving Applied Mathematical Problems with MATLAB

    By Dingyu Xue, Yangquan Chen

    This textbook presents a variety of applied mathematics topics in science and engineering with an emphasis on problem solving techniques using MATLAB®. The authors provide a general overview of the MATLAB language and its graphics abilities before delving into problem solving, making the book...

    Published November 2nd 2008 by Chapman and Hall/CRC

  10. The Computer as Crucible

    An Introduction to Experimental Mathematics

    By Jonathan Borwein, Keith Devlin

    Keith Devlin and Jonathan Borwein, two well-known mathematicians with expertise in different mathematical specialties but with a common interest in experimentation in mathematics, have joined forces to create this introduction to experimental mathematics. They cover a variety of topics and examples...

    Published October 27th 2008 by A K Peters/CRC Press