Fr. 69.00

Numerical Partial Differential Equations: Finite Difference Methods

English · Paperback / Softback

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Description

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This text will be divided into two books which cover the topic of numerical partial differential equations. Of the many different approaches to solving partial differential equations numerically, this book studies difference methods. Written for the beginning graduate student, this text offers a means of coming out of a course with a large number of methods which provide both theoretical knowledge and numerical experience. The reader will learn that numerical experimentation is a part of the subject of numerical solution of partial differential equations, and will be shown some uses and taught some techniques of numerical experimentation.

List of contents

Introduction to Finite Difference.- Some Theoretical Considerations.- Stability.- Parabolic Equations.- Hyperbolic Equations.- Systems of Partial Differential Equations.- Dispersion and Dissipation.- References.- Index.

Report

"This important volume is the first part of a two-part textbook (the second part is entitled Conservation laws and elliptic equations). The text includes interesting homework problems that implement different aspects of most of the schemes discussed. The implementation aspect of this text includes a large amount of computing. Other useful aspects of computing included in this volume are symbolic computing and the use of graphics for analysis. Prerequisites suggested for using this book might include one semester of partial differential equations and some programming capability. This book will be a good reference text for students." -- MATHEMATICAL REVIEWS

Product details

Authors J W Thomas, J. W. Thomas, J.W. Thomas
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 27.10.2010
 
EAN 9781441931054
ISBN 978-1-4419-3105-4
No. of pages 437
Dimensions 157 mm x 25 mm x 236 mm
Weight 691 g
Illustrations XX, 437 p.
Series Texts in Applied Mathematics
Texts in Applied Mathematics
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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