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Partial Differential Equations for Computational Science

With Maple® and Vector Analysis

  • Book
  • © 1998

Overview

Authors:
  1. David Betounes

    1. University of Southern Mississippi Dept. Mathematics, Hattiesburg, USA

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  • Strong appeal to interdisciplinary audiences of engineers, mathematicians, and scientists * Utilizes the computational power of Maple to facilitate the solution of complex PDEs * Applications-oriented focus places material in a real-world context * Heavy focus on vector analysis

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About this book

This is a classroom-tested and developed textbook designed for use in either one- or two term courses in Partial Differential Equations taught at the advanced undergradute and beginning graduate levels of instruction. In addition to covering the standard PDE topics taught in such courses, there is a heavy focus on vector analysis. Maple examples and exercises for the students are presented strategically within the book, and an Appendix on Maple facilitates the use of this computer algebra language, acting as a quick reference source for readers. This book will have strong appeal to interdisciplinary audiences of engineers and scientists, particulary in regard to its treatments of fluid mechanics, heat equations, and continuum mechanics, inclusion of the latter being a unique feature of the presentation.

Authors and Affiliations

  • University of Southern Mississippi Dept. Mathematics, Hattiesburg, USA

    David Betounes

Bibliographic Information

  • Book Title: Partial Differential Equations for Computational Science

  • Book Subtitle: With Maple® and Vector Analysis

  • Authors: David Betounes

  • Publisher: Springer New York, NY

  • eBook Packages: Mathematics and Statistics (R0)

  • Copyright Information: Springer Science+Business Media New York 1998

  • Hardcover ISBN: 978-0-387-98300-4Published: 15 May 1998

  • Softcover ISBN: 978-1-4612-7456-8Published: 14 January 2014

  • Edition Number: 1

  • Number of Pages: XIX, 517

  • Number of Illustrations: 41 b/w illustrations

  • Topics: Analysis, Numerical Analysis

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