Numerical Solution Of Ordinary And Partial Differential Equations, The (3rd Edition) Paperback / softback - 2014 - 3rd Edition
by Granville Sewell
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Details
- Title Numerical Solution Of Ordinary And Partial Differential Equations, The (3rd Edition)
- Author Granville Sewell
- Binding Paperback
- Edition number 3rd
- Edition 3
- Condition New
- Pages 348
- Volumes 1
- Language ENG
- Publisher World Scientific Publishing Company
- Publication date 2014-12-27
- Features Bibliography, Index
- Bookseller's Inventory # A9789814635097
- ISBN 9789814635097 / 981463509X
- Weight 1.09 lbs (0.49 kg)
- Dimensions 8.8 x 6.47 x 0.73 in (22.35 x 16.43 x 1.85 cm)
- Category Mathematics
- Library of Congress subjects Differential equations - Numerical solutions, Differential equations, Partial - Numerical
- Library of Congress Catalogue Number 2014042631
- Dewey Decimal Code 518.63
- Quantity available 2
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From the publisher
From the jacket flap
This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state. Finite difference methods are introduced and analyzed in the first four chapters, and finite element methods are studied in chapter five. A very general-purpose and widely-used finite element program, PDE2D, which implements many of the methods studied in the earlier chapters, is presented and documented in Appendix A.
The book contains the relevant theory and error analysis for most of the methods studied, but also emphasizes the practical aspects involved in implementing the methods. Students using this book will actually see and write programs (FORTRAN or MATLAB) for solving ordinary and partial differential equations, using both finite differences and finite elements. In addition, they will be able to solve very difficult partial differential equations using the software PDE2D, presented in Appendix A. PDE2D solves very general steady-state, time-dependent and eigenvalue PDE systems, in 1D intervals, general 2D regions, and a wide range of simple 3D regions.
