Gander, M: Numerical Analysis of Partial Differential Equat
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
- Softcover
- New
Condition: New
£ 62.59
Quantity: 1 available
Add to basketItem description from seller
Offers an elementary yet comprehensive introduction to the numerical solution of partial differential equations (PDEs). The book provides detailed descriptions of the four major classes of discretization methods for PDEs and runnable MATLAB (R) code for eac.
Seller Inventory # 596415884
- Title
- Gander, M: Numerical Analysis of Partial Differential Equat
- Author
- Martin J. Gander|Felix Kwok
- Publisher
- SIAM - Society for Industrial and Applied Mathematics
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1611975301
- ISBN 13
- 9781611975307
Numerical Analysis of Partial Differential Equations Using Maple and MATLAB provides detailed descriptions of the four major classes of discretization methods for PDEs (finite difference method, finite volume method, spectral method, and finite element method) and runnable MATLAB® code for each of the discretization methods and exercises. It also gives self-contained convergence proofs for each method using the tools and techniques required for the general convergence analysis but adapted to the simplest setting to keep the presentation clear and complete.
This book is intended for advanced undergraduate and early graduate students in numerical analysis and scientific computing and researchers in related fields. It is appropriate for a course on numerical methods for partial differential equations.
"Synopsis" may belong to another edition of this title.
About the Author
Felix Kwok is an assistant professor at Hong Kong Baptist University, before which he spent six years at the University of Geneva. In 2017, he held a visiting position at Université Côte d'Azur. He was awarded a Canadian Governor General's Silver Medal for academic excellence at McGill University and was the recipient of FCAR and NSERC doctoral fellowships while at Stanford. Together with Martin J. Gander, he won the SIAM 100-Dollar 100-Digit Challenge, and in 2018 he was the recipient of the HKBU President's Award for Outstanding Performance as a Young Researcher. His research interests are in scientific computing, particularly the numerical solution of PDEs and its applications in physics and engineering.
"About the title" may belong to another edition of this title.
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