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Computational Partial Differential Equations Using MATLAB®
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Computational Partial Differential Equations Using MATLAB®

Book Details

Format Paperback / Softback
ISBN-10 1032475196
ISBN-13 9781032475196
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 21st, 2023
Print length 422 Pages
Weight 652 grams
Dimensions 15.40 x 23.40 x 3.90 cms
Ksh 9,250.00
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In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs). The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB, useful for students in computational science and engineering.

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.

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