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Titlebook: Introduction to Scientific Computing and Data Analysis; Mark H. Holmes Textbook 2023Latest edition The Editor(s) (if applicable) and The A

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發(fā)表于 2025-3-21 17:23:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introduction to Scientific Computing and Data Analysis
編輯Mark H. Holmes
視頻videohttp://file.papertrans.cn/475/474148/474148.mp4
概述Codes used for all of the computational examples are available on GitHub.Covers optimization methods, regression principal & independent component analysis & variational calculus.Problem solving & the
叢書名稱Texts in Computational Science and Engineering
圖書封面Titlebook: Introduction to Scientific Computing and Data Analysis;  Mark H. Holmes Textbook 2023Latest edition The Editor(s) (if applicable) and The A
描述This textbook provides an 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 codes used for most of the computational examples in the text are available on GitHub. ?This new edition includes material necessary for an upper division course in computational linear algebra..
出版日期Textbook 2023Latest edition
關(guān)鍵詞Scientific Computing; Data Analysis; Optimization; Interpolation; Nonlinear Equations; Numerical Linear A
版次2
doihttps://doi.org/10.1007/978-3-031-22430-0
isbn_softcover978-3-031-22432-4
isbn_ebook978-3-031-22430-0Series ISSN 1611-0994 Series E-ISSN 2197-179X
issn_series 1611-0994
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:07:09 | 只看該作者
1611-0994 ponent analysis & variational calculus.Problem solving & theThis textbook provides an 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 incl
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Data Analysis,st to explain this using an example. In addition to introducing how the SVD can be used to find the connections, it will also show how the method overlaps with the regression material considered in Chapter ..
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978-3-031-22432-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Introduction to Scientific Computing and Data Analysis978-3-031-22430-0Series ISSN 1611-0994 Series E-ISSN 2197-179X
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發(fā)表于 2025-3-22 23:01:20 | 只看該作者
Mark H. HolmesCodes used for all of the computational examples are available on GitHub.Covers optimization methods, regression principal & independent component analysis & variational calculus.Problem solving & the
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Introduction to Scientific Computing,nite precision arithmetic used by the computer generates errors that are significant enough that they affect the final result. The calculations to follow use double-precision arithmetic, and this is explained in Section ..
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