10% off all books and free delivery over £40
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Computational Partial Differential Equations Using MATLAB

View All Editions

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Computational Partial Differential Equations Using MATLAB Synopsis

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.

About This Edition

ISBN: 9781032475196
Publication date: 21st January 2023
Author: Jichun Li, YiTung Chen
Publisher: CRC Press
Format: Paperback
Pagination: 422 pages
Series: Textbooks in Mathematics
Genres: Information technology: general topics
Differential calculus and equations
Numerical analysis
Applied mathematics
Electrical engineering
Software Engineering
Mathematical theory of computation
Environmental science, engineering and technology