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Numerical analysis of partial differential equations using Maple and MATLAB

By: Contributor(s): Series: Fundamentals of Algorithms; 12Publication details: Philadelphia: Society for Industrial and Applied Mathematics (SIAM), 2018.Description: ix, 153p.: col. ill. pbk.: 25cmISBN:
  • 9781611975307
Subject(s): DDC classification:
  • 515.353028553 GAN
Summary: 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 MATLABĀ® 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. https://epubs.siam.org/doi/book/10.1137/1.9781611975314
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Includes Bibliographical References and Index

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 MATLABĀ® 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.

https://epubs.siam.org/doi/book/10.1137/1.9781611975314

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