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Titlebook: Krylov Subspace Methods for Linear Systems; Principles of Algori Tomohiro Sogabe Book 2022 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-21 16:11:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Krylov Subspace Methods for Linear Systems
副標題Principles of Algori
編輯Tomohiro Sogabe
視頻videohttp://file.papertrans.cn/541/540760/540760.mp4
概述Is the first book to provide details on the COCR, BiCR, and GPBiCG methods to solve non-Hermitian linear systems.Describes theoretical applications to solve problems such as shifted linear systems and
叢書名稱Springer Series in Computational Mathematics
圖書封面Titlebook: Krylov Subspace Methods for Linear Systems; Principles of Algori Tomohiro Sogabe Book 2022 The Editor(s) (if applicable) and The Author(s),
描述.This book focuses on Krylov subspace methods for solving linear systems, which are known as one of the top 10 algorithms in the twentieth century, such as Fast Fourier Transform and Quick Sort (SIAM News, 2000). Theoretical aspects of Krylov subspace methods developed in the twentieth century are explained and derived in a concise and unified way. Furthermore, some Krylov subspace methods in the twenty-first century are described in detail, such as the COCR method for complex symmetric linear systems, the BiCR method, and the IDR(s) method for non-Hermitian linear systems...The strength of the book is not only in describing principles of Krylov subspace methods but in providing a variety of applications: shifted linear systems and matrix functions from the theoretical point of view, as well as partial differential equations, computational physics, computational particle physics, optimizations, and machine learning from a practical point of view...The book is self-contained in that basic necessary concepts of numerical linear algebra are explained, making it suitable for senior undergraduates, postgraduates, and researchers in mathematics, engineering, and computational science. Re
出版日期Book 2022
關鍵詞Linear Systems; Krylov Subspace methods; Preconditioners; Shifted Linear Systems; Matrix Functions
版次1
doihttps://doi.org/10.1007/978-981-19-8532-4
isbn_softcover978-981-19-8534-8
isbn_ebook978-981-19-8532-4Series ISSN 0179-3632 Series E-ISSN 2198-3712
issn_series 0179-3632
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-21 23:24:57 | 只看該作者
,Classification and?Theory of?Krylov Subspace Methods, symmetric. Krylov subspace methods for complex symmetric linear systems use the symmetry of the coefficient matrix, leading to more efficient Krylov subspace methods than ones for non-Hermitian linear systems. This chapter also presents preconditioning techniques to boost the speed of convergence of Krylov subspace methods.
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發(fā)表于 2025-3-22 03:02:02 | 只看該作者
0179-3632 cations to solve problems such as shifted linear systems and.This book focuses on Krylov subspace methods for solving linear systems, which are known as one of the top 10 algorithms in the twentieth century, such as Fast Fourier Transform and Quick Sort (SIAM News, 2000). Theoretical aspects of Kryl
地板
發(fā)表于 2025-3-22 08:16:32 | 只看該作者
Book 2022ch as Fast Fourier Transform and Quick Sort (SIAM News, 2000). Theoretical aspects of Krylov subspace methods developed in the twentieth century are explained and derived in a concise and unified way. Furthermore, some Krylov subspace methods in the twenty-first century are described in detail, such
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978-981-19-8534-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Krylov Subspace Methods for Linear Systems978-981-19-8532-4Series ISSN 0179-3632 Series E-ISSN 2198-3712
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發(fā)表于 2025-3-23 01:32:34 | 只看該作者
Tomohiro SogabeIs the first book to provide details on the COCR, BiCR, and GPBiCG methods to solve non-Hermitian linear systems.Describes theoretical applications to solve problems such as shifted linear systems and
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發(fā)表于 2025-3-23 06:34:30 | 只看該作者
Springer Series in Computational Mathematicshttp://image.papertrans.cn/k/image/540760.jpg
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