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portada Solving Nonlinear Partial Differential Equations with Maple and Mathematica
Type
Physical Book
Publisher
Language
English
Pages
357
Format
Paperback
Dimensions
23.4 x 15.6 x 2.0 cm
Weight
0.52 kg.
ISBN13
9783709117217

Solving Nonlinear Partial Differential Equations with Maple and Mathematica

Inna Shingareva (Author) · Carlos Lizárraga-Celaya (Author) · Springer · Paperback

Solving Nonlinear Partial Differential Equations with Maple and Mathematica - Shingareva, Inna ; Lizárraga-Celaya, Carlos

Physical Book

£ 146.42

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Monday, June 10 and Wednesday, June 26.
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Synopsis "Solving Nonlinear Partial Differential Equations with Maple and Mathematica"

The emphasis of the book is given in how to construct different types of solutions (exact, approximate analytical, numerical, graphical) of numerous nonlinear PDEs correctly, easily, and quickly. The reader can learn a wide variety of techniques and solve numerous nonlinear PDEs included and many other differential equations, simplifying and transforming the equations and solutions, arbitrary functions and parameters, presented in the book). Numerous comparisons and relationships between various types of solutions, different methods and approaches are provided, the results obtained in Maple and Mathematica, facilitates a deeper understanding of the subject. Among a big number of CAS, we choose the two systems, Maple and Mathematica, that are used worldwide by students, research mathematicians, scientists, and engineers. As in the our previous books, we propose the idea to use in parallel both systems, Maple and Mathematica, since in many research problems frequently it is required to compare independent results obtained by using different computer algebra systems, Maple and/or Mathematica, at all stages of the solution process. One of the main points (related to CAS) is based on the implementation of a whole solution method (e.g. starting from an analytical derivation of exact governing equations, constructing discretizations and analytical formulas of a numerical method, performing numerical procedure, obtaining various visualizations, and comparing the numerical solution obtained with other types of solutions considered in the book, e.g. with asymptotic solution).

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