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ISBN 10: 3031258193 ISBN 13: 9783031258190
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Publicado por Springer International Publishing, Springer Nature Switzerland Apr 2023, 2023
ISBN 10: 3031258193 ISBN 13: 9783031258190
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 264 pp. Englisch.
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Publicado por Springer International Publishing, 2023
ISBN 10: 3031258193 ISBN 13: 9783031258190
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Large sparse linear systems of equations are ubiquitous inscience, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems. It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses thecomputation of approximatedirect and inverse factorizations that are key to constructing general-purpose algebraic preconditioners for iterative solvers. A unified framework is used that emphasizes the underlying sparsity structures and highlights the importance of understanding sparse direct methods when developing algebraic preconditioners. Theoretical results are complemented by sparse matrix algorithm outlines.This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics.
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Añadir al carritoTaschenbuch. Condición: Neu. Algorithms for Sparse Linear Systems | Jennifer Scott (u. a.) | Taschenbuch | xix | Englisch | 2023 | Birkhäuser | EAN 9783031258190 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Publicado por Society for Industrial Applied, 2006
ISBN 10: 0898716136 ISBN 13: 9780898716139
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Publicado por Springer International Publishing Apr 2023, 2023
ISBN 10: 3031258193 ISBN 13: 9783031258190
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Large sparse linear systems of equations are ubiquitous inscience, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems. It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses thecomputation of approximatedirect and inverse factorizations that are key to constructing general-purpose algebraic preconditioners for iterative solvers. A unified framework is used that emphasizes the underlying sparsity structures and highlights the importance of understanding sparse direct methods when developing algebraic preconditioners. Theoretical results are complemented by sparse matrix algorithm outlines.This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics. 264 pp. Englisch.
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Publicado por Springer International Publishing, 2023
ISBN 10: 3031258193 ISBN 13: 9783031258190
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is open access, which means that you have free and unlimited access This monograph presents factorization algorithms for solving large sparse linear systems of equationsIt unifies the study of direct methods and algebraic precondi.