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 c...
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| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Birkhäuser,
2023.
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| Edition: | 1st ed. 2023. |
| Series: | Nečas Center Series,
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| Subjects: | |
| Online Access: | Link to Metadata |
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| 001 | 978-3-031-25820-6 | ||
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| 020 | |a 9783031258206 |9 978-3-031-25820-6 | ||
| 024 | 7 | |a 10.1007/978-3-031-25820-6 |2 doi | |
| 050 | 4 | |a QA297-299.4 | |
| 072 | 7 | |a PBKS |2 bicssc | |
| 072 | 7 | |a MAT041000 |2 bisacsh | |
| 072 | 7 | |a PBKS |2 thema | |
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| 100 | 1 | |a Scott, Jennifer. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Algorithms for Sparse Linear Systems |h [electronic resource] / |c by Jennifer Scott, Miroslav Tůma. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Birkhäuser, |c 2023. | |
| 300 | |a XIX, 242 p. 70 illus., 27 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Nečas Center Series, |x 2523-3351 | |
| 505 | 0 | |a An introduction to sparse matrices -- Sparse matrices and their graphs -- Introduction to matrix factorizations -- Sparse Cholesky sovler: The symbolic phase -- Sparse Cholesky solver: The factorization phase -- Sparse LU factorizations -- Stability, ill-conditioning and symmetric indefinite factorizations -- Sparse matrix ordering algorithms -- Algebraic preconditioning and approximate factorizations -- Incomplete factorizations -- Sparse approximate inverse preconditioners. | |
| 506 | 0 | |a Open Access | |
| 520 | |a 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. 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 sparsesystems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics. . | ||
| 650 | 0 | |a Numerical analysis. | |
| 650 | 0 | |a Algebras, Linear. | |
| 650 | 0 | |a Mathematics |x Data processing. | |
| 650 | 1 | 4 | |a Numerical Analysis. |
| 650 | 2 | 4 | |a Linear Algebra. |
| 650 | 2 | 4 | |a Computational Science and Engineering. |
| 700 | 1 | |a Tůma, Miroslav. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031258190 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031258213 |
| 830 | 0 | |a Nečas Center Series, |x 2523-3351 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-25820-6 |z Link to Metadata |
| 912 | |a ZDB-2-SMA | ||
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||