Name: Numerical Analysis of Partial Differential Equations Using Maple and MATLAB (en Inglés)
SKU: 67260880
Price: 100.49 USD
Availability: InStock
Author: Martin J. Gander;Felix Kwok
ISBN: 9781611975307

portada Numerical Analysis of Partial Differential Equations Using Maple and MATLAB (en Inglés)

Numerical Analysis of Partial Differential Equations Using Maple and MATLAB (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

Martin J. Gander;Felix Kwok

Colección

Fundamentals of Algorithms

Año

2018

Idioma

Inglés

N° páginas

153

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2 cm

ISBN13

9781611975307

Numerical Analysis of Partial Differential Equations Using Maple and MATLAB (en Inglés)

Martin J. Gander;Felix Kwok (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

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Reseña del libro "Numerical Analysis of Partial Differential Equations Using Maple and MATLAB (en Inglés)"

Offers an elementary yet comprehensive introduction to the numerical solution of partial differential equations (PDEs). The book provides detailed descriptions of the four major classes of discretization methods for PDEs and runnable MATLAB® code for each of the discretization methods and exercises.

This book provides an elementary yet comprehensive introduction to the numerical solution of partial differential equations (PDEs). Used to model important phenomena, such as the heating of apartments and the behavior of electromagnetic waves, these equations have applications in engineering and the life sciences, and most can only be solved approximately using computers.

Numerical Analysis of Partial Differential Equations Using Maple and MATLAB provides detailed descriptions of the four major classes of discretization methods for PDEs (finite difference method, finite volume method, spectral method, and finite element method) and runnable MATLAB® code for each of the discretization methods and exercises. It also gives self-contained convergence proofs for each method using the tools and techniques required for the general convergence analysis but adapted to the simplest setting to keep the presentation clear and complete.

This book is intended for advanced undergraduate and early graduate students in numerical analysis and scientific computing and researchers in related fields. It is appropriate for a course on numerical methods for partial differential equations.