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Handbook of Sinc Numerical Methods (Paperback) Loot Price: R2,306
Discovery Miles 23 060
Handbook of Sinc Numerical Methods (Paperback): Frank Stenger

Handbook of Sinc Numerical Methods (Paperback)

Frank Stenger

Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

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Loot Price R2,306 Discovery Miles 23 060 | Repayment Terms: R216 pm x 12*

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Handbook of Sinc Numerical Methods presents an ideal road map for handling general numeric problems. Reflecting the author's advances with Sinc since 1995, the text most notably provides a detailed exposition of the Sinc separation of variables method for numerically solving the full range of partial differential equations (PDEs) of interest to scientists and engineers. This new theory, which combines Sinc convolution with the boundary integral equation (IE) approach, makes for exponentially faster convergence to solutions of differential equations. The basis for the approach is the Sinc method of approximating almost every type of operation stemming from calculus via easily computed matrices of very low dimension. The downloadable resources of this handbook contain roughly 450 MATLAB (R) programs corresponding to exponentially convergent numerical algorithms for solving nearly every computational problem of science and engineering. While the book makes Sinc methods accessible to users wanting to bypass the complete theory, it also offers sufficient theoretical details for readers who do want a full working understanding of this exciting area of numerical analysis.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Release date: May 2017
First published: 2011
Authors: Frank Stenger
Dimensions: 234 x 156mm (L x W)
Format: Paperback
Pages: 482
ISBN-13: 978-1-138-11617-7
Categories: Books > Professional & Technical > Environmental engineering & technology > General
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
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LSN: 1-138-11617-3
Barcode: 9781138116177

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