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Richardson Extrapolation - Practical Aspects and Applications (Hardcover) Loot Price: R4,338
Discovery Miles 43 380
Richardson Extrapolation - Practical Aspects and Applications (Hardcover): Zahari Zlatev, Ivan Dimov, Istvan Farago, Agnes...

Richardson Extrapolation - Practical Aspects and Applications (Hardcover)

Zahari Zlatev, Ivan Dimov, Istvan Farago, Agnes Havasi

Series: De Gruyter Series in Applied and Numerical Mathematics

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Loot Price R4,338 Discovery Miles 43 380 | Repayment Terms: R407 pm x 12*

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Scientists and engineers are mainly using Richardson extrapolation as a computational tool for increasing the accuracy of various numerical algorithms for the treatment of systems of ordinary and partial differential equations and for improving the computational efficiency of the solution process by the automatic variation of the time-stepsizes. A third issue, the stability of the computations, is very often the most important one and, therefore, it is the major topic studied in all chapters of this book. Clear explanations and many examples make this text an easy-to-follow handbook for applied mathematicians, physicists and engineers working with scientific models based on differential equations. Contents The basic properties of Richardson extrapolation Richardson extrapolation for explicit Runge-Kutta methods Linear multistep and predictor-corrector methods Richardson extrapolation for some implicit methods Richardson extrapolation for splitting techniques Richardson extrapolation for advection problems Richardson extrapolation for some other problems General conclusions

General

Imprint: De Gruyter
Country of origin: Germany
Series: De Gruyter Series in Applied and Numerical Mathematics
Release date: November 2017
First published: 2018
Authors: Zahari Zlatev • Ivan Dimov • Istvan Farago • Agnes Havasi
Dimensions: 240 x 170 x 19mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 309
ISBN-13: 978-3-11-051649-4
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
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LSN: 3-11-051649-7
Barcode: 9783110516494

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