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Spectral Methods : Algorithms, Analysis and Applications

By: Shen, Jie Tang, Tao Wang, Li-Lian

Part of the Springer Series in Computational Mathematics series
354071040X / 9783540710400
Usually dispatched within 4 weeks
155 x 235 mm, 893 grams 472 pages, XVI, 472 p.
Professional & Vocational  Learn More

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.


PBKS Numerical analysis

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RRP £108.00
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