Articoli correlati a Krylov Subspace Methods for Linear Systems: Principles...
- EditoreSpringer Nature
- Data di pubblicazione2023
- ISBN 10 9811985316
- ISBN 13 9789811985317
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine240
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Krylov Subspace Methods for Linear Systems : Principles of Algorithms
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Krylov Subspace Methods for Linear Systems: Principles of Algorithms (Springer Series in Computational Mathematics, 60)
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Krylov Subspace Methods for Linear Systems : Principles of Algorithms
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Krylov Subspace Methods for Linear Systems
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Springer Nature Singapore Jan 2023, 2023
ISBN 10: 9811985316
ISBN 13: 9789811985317
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Readers will find it a useful resource for understanding the principles and properties of Krylov subspace methods and correctly using those methods for solving problems in the future. 240 pp. Englisch. Codice articolo 9789811985317
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Krylov Subspace Methods for Linear Systems : Principles of Algorithms
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Krylov Subspace Methods for Linear Systems : Principles of Algorithms
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Krylov Subspace Methods for Linear Systems: Principles of Algorithms (Springer Series in Computational Mathematics, 60)
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Krylov Subspace Methods for Linear Systems
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is the first book to provide details on the COCR, BiCR, and GPBiCG methods to solve non-Hermitian linear systemsDescribes theoretical applications to solve problems such as shifted linear systems and matrix functionsShows practical applicat. Codice articolo 747116720
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Krylov Subspace Methods for Linear Systems : Principles of Algorithms
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Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811985316
ISBN 13: 9789811985317
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Readers will find it a useful resource for understanding the principles and properties of Krylov subspace methods and correctly using those methods for solving problems in the future. Codice articolo 9789811985317
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Krylov Subspace Methods for Linear Systems: Principles of Algorithms
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Hardcover. Condizione: Brand New. 238 pages. 9.25x6.10x9.21 inches. In Stock. Codice articolo x-9811985316
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