Partial Differential Equations for Computational Science : With Maple and Vector Analysis
Editorial Reviews
Book Description
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. In addition, a cross-platform CD-ROM which is packaged with the text contains many analytical examples for students in the use of Maple. However, despite its general computational orientation, this book is designed so that it can also be readily used by instructors not wishing to bring the computational aspects of a computer algebra system into the classroom. 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.
Book Info
Provides an extensive introduction to the methods and theory of Partial Differential Equations without relying on a background in functional analysis and differential geometry. CD-ROM included. DLC: Differential equations.
Partial Differential Equations for Computational Science: With Maple and Vector Analysis,David Betounes,Springer,0387983007,Applied,Differential Equations,Differential Equations - Partial Differential Equations,Differential equations, Partia,Differential equations, Partial,Maple (Computer file),Maple V,Mathematics,Numerical Solutions,Partial Differential Equations,Science/Mathematics,Vector analysis,Applications of Computing,High level programming languages,Mathematical theory of computation,Mathematics / Mathematical Analysis,Vector & tensor analysis
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