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＜電子ブック＞
Introduction to Scientific Computing and Data Analysis / by Mark H. Holmes
(Texts in Computational Science and Engineering. ISSN:2197179X ; 13)

版	1st ed. 2016.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2016
本文言語	英語
大きさ	XIV, 497 p. 177 illus., 138 illus. in color : online resource
著者標目	*Holmes, Mark H author SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Mathematical optimization LCSH:Differential equations FREE:Computational Science and Engineering FREE:Optimization FREE:Differential Equations
一般注記	Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices This textbook provides and introduction to numerical computing and its applications in science and engineering.  The topics covered include those usually found in an introductory course, as well as those that arise in data analysis.  This includes optimization and regression based methods using a singular value decomposition.  The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science.  The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used.  The MATLAB codes used to produce most of the figures and data tables in the text are available on the author’s website and SpringerLink HTTP:URL=https://doi.org/10.1007/978-3-319-30256-0

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