Classical and Modern Numerical Analysis: Theory, Methods and Practice (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) - Image 1

£109.79

CRC Press Classical and Modern Numerical Analysis: Theory, Methods and Practice (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Name: Classical and Modern Numerical Analysis: Theory, Methods and Practice (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
Brand: CRC Press
Price: 136.09 GBP
Availability: InStock

Computer Science

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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 numerical analysis. The text covers the main areas of introductory numerical analysis, including the solution of nonlinear equations, numerical linear algebra, ordinary differential equations, approximation theory, numerical integration, and boundary value problems. Focusing on interval computing in numerical analysis, it explains interval arithmetic, interval computation, and interval algorithms. The authors illustrate the concepts with many examples as well as analytical and computational exercises at the end of each chapter. This advanced, graduate-level introduction to the theory and methods of numerical analysis supplies the necessary background in numerical methods so that students can apply the techniques and understand the mathematical literature in this area. Although the book is independent of a specific computer program, MATLAB® code is available on the authors' website to illustrate various concepts.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1420091573
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 20 July 2009
Listed Since: 23 May 2008

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CRC Press Classical and Modern Numerical Analysis: Theory, Methods and Practice (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

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