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Titlebook: Computational Methods in Physics; Compendium for Stude Simon ?irca,Martin Horvat Textbook 20182nd edition Springer International Publishing

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書(shū)目名稱Computational Methods in Physics
副標(biāo)題Compendium for Stude
編輯Simon ?irca,Martin Horvat
視頻videohttp://file.papertrans.cn/233/232773/232773.mp4
概述Explains core numerical methods a physicist should know or be aware of.Shows how to control errors, stability, and convergence.Supports learning with comprehensive physics- and engineering-motivated e
叢書(shū)名稱Graduate Texts in Physics
圖書(shū)封面Titlebook: Computational Methods in Physics; Compendium for Stude Simon ?irca,Martin Horvat Textbook 20182nd edition Springer International Publishing
描述.This book is intended to help advanced undergraduate, graduate, and postdoctoral students in their daily work by o?ering them a compendium of numerical methods. The choice of methods pays signi?cant attention to error estimates, stability and convergence issues, as well as optimization of program execution speeds. Numerous examples are given throughout the chapters, followed by comprehensive end-of-chapter problems with a more pronounced physics background, while less stress is given to the explanation of individual algorithms. The readers are encouraged to develop a certain amount of skepticism and scrutiny instead of blindly following readily available commercial tools...?..The second edition has been enriched by a chapter on inverse problems dealing with the solution of integral equations, inverse Sturm-Liouville problems, as well as retrospective and recovery problems for partial di?erential equations. The revised text now includes an introduction to sparse matrix methods, the solution of matrix equations, and pseudospectra of matrices; it discusses the sparse Fourier, non-uniform Fourier and discrete wavelet transformations, the basics of non-linear regression and the Kolmogo
出版日期Textbook 20182nd edition
關(guān)鍵詞Computational Algorithms; Computational Physics Textbook; Mathematical Methods in Physics; Numerical An
版次2
doihttps://doi.org/10.1007/978-3-319-78619-3
isbn_softcover978-3-030-08746-3
isbn_ebook978-3-319-78619-3Series ISSN 1868-4513 Series E-ISSN 1868-4521
issn_series 1868-4513
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Modeling and Analysis of Time Series,uous. The signals may be real, complex, or integer. In the analysis of time series we use mathematical tools to extract their basic characteristics and learn about the properties of their sources. The sources of signals are also called . and are commonly identified with the signals that these proces
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Initial-Value Problems for ODE,quantities that we use to describe the system. There are endless examples. Physicists study oscillations of non-linear mechanical pendula and electric circuits, monitor the motion of charged particles in electro-magnetic fields, and predict orbits of satellites in the presence of other celestial bod
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Spectral Methods for PDE,rby mesh points. For example, (.) is an approximation of the derivative at . obtained by parabolic interpolation between ., ., and .. The solution on the whole interval is constructed by superposing many such overlapping polynomials as the weighted sum of the function values at the interpolation poi
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Textbook 20182nd editional methods. The choice of methods pays signi?cant attention to error estimates, stability and convergence issues, as well as optimization of program execution speeds. Numerous examples are given throughout the chapters, followed by comprehensive end-of-chapter problems with a more pronounced physics
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