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Can I read Solving PDEs in C++: Numerical Methods in a Unified Object-Oriented Approach (Computational Science and Engineering) on EtoBox?

Solving PDEs in C++: Numerical Methods in a Unified Object-Oriented Approach (Computational Science and Engineering) by Yair Shapira, Yair Shapira is a nonfiction available to read on EtoBox.

What is Solving PDEs in C++: Numerical Methods in a Unified Object-Oriented Approach (Computational Science and Engineering) about?

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 introduced and implemented easily and efficiently in a unified object-oriented approach. 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. This book introduces a unified approach for the implementation of these objects. The code segments and their detailed explanations clearly show how easy it is to implement advanced algorithms in C++. Solving PDEs in C++ contains all the required background in programming, PDEs, and numerical methods; only an elementary background in linear algebra and calculus is required. Useful

Who reads Solving PDEs in C++: Numerical Methods in a Unified Object-Oriented Approach (Computational Science and Engineering)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Yair Shapira, Yair Shapira
Publisher
Society for Industrial and Applied Mathematics; Society for Industrial and Applied Mathematics (SIAM)
Published
2006
Language
EN
ISBN
9780898716016
Category
nonfiction
Subjects
Mathematics, Computer Science, Science
Rating
2.3 / 5 (5 ratings)
Updated
2026-03-14

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