Spectral And High Order Methods For Partial Differential Equations

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Implementing Spectral Methods for Partial Differential Equations

Author: David A. Kopriva
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-05-27
This book explains how to solve partial differential equations numerically using single and multidomain spectral methods. It shows how only a few fundamental algorithms form the building blocks of any spectral code, even for problems with complex geometries.
Spectral Methods

Author: Jie Shen
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-08-25
Along with finite differences and finite elements, spectral methods are one of the three main methodologies for solving partial differential equations on computers. This book provides a detailed presentation of basic spectral algorithms, as well as a systematical presentation of basic convergence theory and error analysis for spectral methods. Readers of this book will be exposed to a unified framework for designing and analyzing spectral algorithms for a variety of problems, including in particular high-order differential equations and problems in unbounded domains. The book contains a large number of figures which are designed to illustrate various concepts stressed in the book. A set of basic matlab codes has been made available online to help the readers to develop their own spectral codes for their specific applications.