Authors:

Presents different approaches for solving nonlinear PDEs and systems.

Contains numerous examples and comparisons.

Use of two computer algebra systems, Maple and Mathematica, enables comparisons between various types of solutions and approaches.

Compact and understandable programming style of Maple and Mathematica helps to understand and solve nonlinear PDEs and many other differential equations

Includes supplementary material: sn.pub/extras
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Table of contents (7 chapters)

Front Matter 
Back Matter
About this book
Keywords
 CAS
 Computer Algebra System
 Maple and Mathematica
 Nonlinear Partial Differential Equations
 PDE
 partial differential equations
Reviews
From the reviews:
“The authors consider the problem of constructing closedform and approximate solutions to nonlinear partial differential equations with the help of computer algebra systems. … The book will be useful for readers who want to try modern methods for solving nonlinear partial differential equations on concrete examples without bothering too much about the mathematics behind the methods. Thus it is mainly of interest for applied scientists. Mathematicians may use it in connection with more theoretical works; some references are given throughout the book.” (Werner M. Seiler, Zentralblatt MATH, Vol. 1233, 2012)
Authors and Affiliations

, Dept. of Mathematics, University of Sonora, Sonora, Mexico Inna Shingareva

, Departamento de Física, Universidad de Sonora, Sonora, Mexico Carlos LizárragaCelaya
Bibliographic Information

Book Title: Solving Nonlinear Partial Differential Equations with Maple and Mathematica

Authors: Inna Shingareva, Carlos LizárragaCelaya

DOI: https://doi.org/10.1007/9783709105177

Publisher: Springer Vienna

eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

Copyright Information: SpringerVerlag/Wien 2011

Hardcover ISBN: 9783709105160Published: 24 July 2011

Softcover ISBN: 9783709117217Published: 12 October 2014

eBook ISBN: 9783709105177Published: 24 July 2011

Edition Number: 1

Number of Pages: XIII, 357

Topics: Differential Equations, Nonlinear Optics, Mathematical and Computational Engineering Applications