Computational Partial Differential Equations Using MATLAB (R)

Computational Partial Differential Equations Using MATLAB (R)

EnglishHardback
Li Jichun
Taylor & Francis Ltd
EAN: 9780367217747
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Delivery on Friday, 7. of August 2026
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Common price CZK 3,245
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Detailed information

In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB.

Key Selling Points: A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering. This course is taught in every university throughout the world with an engineering department or school. Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis.

No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.

EAN 9780367217747
ISBN 0367217740
Binding Hardback
Publisher Taylor & Francis Ltd
Publication date October 11, 2019
Pages 422
Language English
Dimensions 234 x 156
Country United Kingdom
Readership Undergraduate
Authors Chen Yi-Tung; Li Jichun
Illustrations 8 Tables, black and white; 43 Illustrations, black and white
Edition 2 ed
Series Textbooks in Mathematics
Manufacturer information
The manufacturer's contact information is currently not available online, we are working intensively on the axle. If you need information, write us on [email protected], we will be happy to provide it.

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