Solving PDEs in C++ free

Author: Yair Shapira
Edition: 2
Publisher: SIAM-Society for Industrial and Applied Mathematics
Binding: Paperback
ISBN: 1611972167
Category: Programming
List Price: $ 139.00
Price: $ 116.32
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Solving PDEs in C++: Numerical Methods in a Unified Object-Oriented Approach, Second Edition (Computational Science and Engineering)

In this much-expanded second edition, author Yair Shapira presents new applications and a substantial extension of the original object-oriented framework to make this popular and comprehensive book even easier to understand and use. Programming books Solving PDEs in C++ pdf. It not only introduces the C and C++ programming languages, but also shows how to use them in the numerical solution of partial differential equations (PDEs). New material in this edition includes new chapters on 3-D nonlinear applications and image processing applications; new sections on cryptography applications; and even more new sections, many including additional algorithms. The book leads readers through the entire solution process, from the original PDE, through the discretization stage, to the numerical solution of the resulting algebraic system. The high level of abstraction available in C++ is particularly useful in the implementation of complex mathematical objects, such as unstructured mesh, sparse matrix, and multigrid hierarchy, often used in numerical modeling. Download books Solving PDEs in C++ pdf via mediafire, 4shared, rapidshare.

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Solving PDEs in C++: Yair Shapira

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This comprehensive book not only introduces the C and C++ programming languages but also shows how to use them in the numerical solution of partial differential equations (PDEs). It leads the reader through the entire solution process, from the original PDE, through the discretization stage, to the numerical solution of the resulting algebraic system. The well-debugged and tested code segments implement the numerical methods efficiently and transparently. Basic and advanced numerical methods are

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Solving Pdes in C++ Numerical Methods In a Unified Object-Oriented Approach, ISBN-13: 9780898716016, ISBN-10: 0898716012

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This text provides a comprehensive and self-contained guide for the numerical solution of PDEs using C++ for students, engineers and researchers who want to use advanced programming tools to solve problems in applied science. The second edition contains new reader-friendly code to solve nonlinear systems of PDEs in three dimensions.

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Download Solving PDEs in C++

It not only introduces the C and C++ programming languages, but also shows how to use them in the numerical solution of partial differential equations (PDEs). New material in this edition includes new chapters on 3-D nonlinear applications and image processing applications; new sections on cryptography applications; and even more new sections, many including additional algorithms. The book leads readers through the entire solution process, from the original PDE, through the discretization stage, to the numerical solution of the resulting algebraic system. The high level of abstraction available in C++ is particularly useful in the implementation of complex mathematical objects, such as unstructured mesh, sparse matrix, and multigrid hierarchy, often used in numerical modeling. The well-debugged and tested code segments implement the numerical methods efficiently and transparently in a unified object-oriented approach. Audience: The book is written for researchers, engineers, and advanced students who wish to increase their familiarity with numerical methods and to implement them using modern programming tools. Solving PDEs in C++, Second Edition can be used as a textbook in courses in C++ with applications, C++ in engineering, numerical analysis, and numerical PDEs at the advanced undergraduate and graduate levels. Because it is self-contained, the book is also suitable for self-study by researchers and students in applied and computational science and engineering. Download free Solving PDEs in C++: Numerical Methods in a Unified Object-Oriented Approach, Second Edition (Computational Science and Engineering) pdf