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)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“The authors consider the problem of constructing closed-form 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
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, Dept. of Mathematics, University of Sonora, Sonora, Mexico
Inna Shingareva
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, Departamento de Física, Universidad de Sonora, Sonora, Mexico
Carlos Lizárraga-Celaya
Bibliographic Information
Book Title: Solving Nonlinear Partial Differential Equations with Maple and Mathematica
Authors: Inna Shingareva, Carlos Lizárraga-Celaya
DOI: https://doi.org/10.1007/978-3-7091-0517-7
Publisher: Springer Vienna
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag/Wien 2011
Hardcover ISBN: 978-3-7091-0516-0Published: 24 July 2011
Softcover ISBN: 978-3-7091-1721-7Published: 12 October 2014
eBook ISBN: 978-3-7091-0517-7Published: 24 July 2011
Edition Number: 1
Number of Pages: XIII, 357
Topics: Partial Differential Equations, Applications of Nonlinear Dynamics and Chaos Theory, Mathematical and Computational Engineering