Algorithms for Sparse Linear Systems

Large sparse linear systems of equations are ubiquitous in science, 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 the...

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Detalles Bibliográficos
Otros Autores: Scott, Jennifer, author (author), Tůma, Miroslav, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2023.
Edición:1st ed
Colección:Nečas Center Series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009743532706719
Descripción
Sumario:Large sparse linear systems of equations are ubiquitous in science, 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 the computation of approximate direct 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.
Descripción Física:1 online resource (xix, 242 pages) : illustrations (some color)
Bibliografía:Includes bibliographical references and index.
ISBN:9783031258206