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Solving Nonlinear Partial Differential Equations with Maple and Mathematica
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Solving Nonlinear Partial Differential Equations with Maple and Mathematica

2011 ed.

Book Details

Format Hardback or Cased Book
ISBN-10 3709105161
ISBN-13 9783709105160
Edition 2011 ed.
Publisher Springer Verlag GmbH
Imprint Springer Verlag GmbH
Country of Manufacture AT
Country of Publication GB
Publication Date Jul 24th, 2011
Print length 357 Pages
Weight 712 grams
Dimensions 24.00 x 16.30 x 2.70 cms
Ksh 19,800.00
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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.
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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