Solving Differential Equations(ODEs) in Mathematica | Tutorial -11
Solving Differential Equations(ODEs) in Mathematica | Tutorial -11


  • 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:

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Table of contents (7 chapters)

  1. Front Matter
  2. Back Matter

About this book


  • CAS
  • Computer Algebra System
  • Maple and Mathematica
  • Nonlinear Partial Differential Equations
  • PDE
  • partial differential equations


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

  • , Dept. of Mathematics, University of Sonora, Sonora, Mexico

    Inna Shingareva

  • , 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:

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

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