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Titlebook: Implementing Spectral Methods for Partial Differential Equations; Algorithms for Scien David A. Kopriva Book 2009 Springer Science+Business

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书目名称Implementing Spectral Methods for Partial Differential Equations
副标题Algorithms for Scien
编辑David A. Kopriva
视频video
概述First book to cover multidomain spectral methods for the numerical solution of time-dependent 1D and 2D partial differential equations.Presented without too much abstract mathematics and minutae.Conta
丛书名称Scientific Computation
图书封面Titlebook: Implementing Spectral Methods for Partial Differential Equations; Algorithms for Scien David A. Kopriva Book 2009 Springer Science+Business
描述.This book offers a systematic and self-contained approach to solve partial differential equations numerically using single and multidomain spectral methods. It contains detailed algorithms in pseudocode for the application of spectral approximations to both one and two dimensional PDEs of mathematical physics describing potentials, transport, and wave propagation. David Kopriva, a well-known researcher in the field with extensive practical experience, shows how only a few fundamental algorithms form the building blocks of any spectral code, even for problems with complex geometries. The book addresses computational and applications scientists, as it emphasizes the practical derivation and implementation of spectral methods over abstract mathematics. It is divided into two parts: First comes a primer on spectral approximation and the basic algorithms, including FFT algorithms, Gauss quadrature algorithms, and how to approximate derivatives. The second part shows how to use those algorithms to solve steady and time dependent PDEs in one and two space dimensions. Exercises and questions at the end of each chapter encourage the reader to experiment with the algorithms..
出版日期Book 2009
关键词Approximation of Derivatives; FFT Algorithm; Implementation of Spectral Methods; Multidomain Spectral M
版次1
doihttps://doi.org/10.1007/978-90-481-2261-5
isbn_softcover978-90-481-8484-2
isbn_ebook978-90-481-2261-5Series ISSN 1434-8322 Series E-ISSN 2198-2589
issn_series 1434-8322
copyrightSpringer Science+Business Media B.V. 2009
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David A. Koprivaial markers. In marker-less feature-based tracking salient regions in the images are identified by the detector and information about these regions are extracted and stored by the descriptor for matching. Speeded-Up Robust Feature (SURF) is considered as the most robust detector and descriptor so fa
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David A. Koprivaough there would be much disagreement as to the exact proportion of papers published in developmental journals that could be considered cognitive, 50% seems like a conservative estimate. Hence, a series of scholarly books devoted to work in cognitive development is especially appropriate at this tim
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David A. Koprivat. Socrates wondered how an ignorant shepherd boy could manipulate objects as if he were aware of their geometric properties. The larger question was how we come to know anything when we do not already know it. The problem rests in the perception that there is a subjective ‘I’, or person, looking ou
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