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Titlebook: Exercises in Numerical Linear Algebra and Matrix Factorizations; Tom Lyche,Georg Muntingh,?yvind Ryan Textbook 2020 The Editor(s) (if appl

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發(fā)表于 2025-3-21 16:59:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Exercises in Numerical Linear Algebra and Matrix Factorizations
編輯Tom Lyche,Georg Muntingh,?yvind Ryan
視頻videohttp://file.papertrans.cn/319/318522/318522.mp4
概述Many exercises are presented with several solutions (where there may not be a best one).Presentation which is tied heavily to that of the textbook “Numerical Linear Algebra and Matrix Factorizations”,
叢書名稱Texts in Computational Science and Engineering
圖書封面Titlebook: Exercises in Numerical Linear Algebra and Matrix Factorizations;  Tom Lyche,Georg Muntingh,?yvind Ryan Textbook 2020 The Editor(s) (if appl
描述.To put the world of linear algebra to advanced use, it is not enough to merely understand the theory; there is a significant gap between the theory of linear algebra and its myriad expressions in nearly every computational domain. To bridge this gap, it is essential to process the theory by solving many exercises, thus obtaining a firmer grasp of its diverse applications. Similarly, from a theoretical perspective, diving into the literature on advanced linear algebra often reveals more and more topics that are deferred to exercises instead of being treated in the main text. As exercises grow more complex and numerous, it becomes increasingly important to provide supporting material and guidelines on how to solve them, supporting students’ learning process.? . .This book provides precisely this type of supporting material for the textbook “Numerical Linear Algebra and Matrix Factorizations,” published as Vol. 22 of?Springer’s. Texts in Computational Science and Engineering.?series. Instead of?omitting?details or merely providing rough outlines, this book offers detailed proofs, and connects the solutions to the corresponding results in the textbook. For the algorithmic exercises th
出版日期Textbook 2020
關鍵詞numerical linear algebra; matrix theory; MATLAB programming; linear systems; least squares; eigenvalue pr
版次1
doihttps://doi.org/10.1007/978-3-030-59789-4
isbn_softcover978-3-030-59791-7
isbn_ebook978-3-030-59789-4Series 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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1611-0994 eries. Instead of?omitting?details or merely providing rough outlines, this book offers detailed proofs, and connects the solutions to the corresponding results in the textbook. For the algorithmic exercises th978-3-030-59791-7978-3-030-59789-4Series ISSN 1611-0994 Series E-ISSN 2197-179X
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Textbook 2020ns,” published as Vol. 22 of?Springer’s. Texts in Computational Science and Engineering.?series. Instead of?omitting?details or merely providing rough outlines, this book offers detailed proofs, and connects the solutions to the corresponding results in the textbook. For the algorithmic exercises th
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978-3-030-59791-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Exercises in Numerical Linear Algebra and Matrix Factorizations978-3-030-59789-4Series ISSN 1611-0994 Series E-ISSN 2197-179X
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