Computer Algorithms for Solving Linear Algebraic Equations - Info and Reading Options
The State of the Art
By Emilio Spedicato

"Computer Algorithms for Solving Linear Algebraic Equations" was published by Springer Berlin Heidelberg in 1991 - Berlin, Heidelberg, it has 352 pages and the language of the book is English.
“Computer Algorithms for Solving Linear Algebraic Equations” Metadata:
- Title: ➤ Computer Algorithms for Solving Linear Algebraic Equations
- Author: Emilio Spedicato
- Language: English
- Number of Pages: 352
- Publisher: Springer Berlin Heidelberg
- Publish Date: 1991
- Publish Location: Berlin, Heidelberg
“Computer Algorithms for Solving Linear Algebraic Equations” Subjects and Themes:
- Subjects: ➤ Numerical analysis - Algorithms - Computer science - Software engineering - Computer software - Systems theory - Equations, numerical solutions - Algebras, linear
Edition Specifications:
- Format: [electronic resource] :
- Pagination: ➤ 1 online resource (viii, 352p. 57 illus.)
Edition Identifiers:
- The Open Library ID: OL27026058M - OL19836495W
- Online Computer Library Center (OCLC) ID: 851760075
- ISBN-13: 9783642767197 - 9783642767173
- ISBN-10: 3642767192 - 3642767176
- All ISBNs: 3642767192 - 3642767176 - 9783642767197 - 9783642767173
AI-generated Review of “Computer Algorithms for Solving Linear Algebraic Equations”:
"Computer Algorithms for Solving Linear Algebraic Equations" Description:
The Open Library:
This volume presents the lectures given by fourteen specialists in algorithms for linear algebraic systems during a NATO Advanced Study Institute held at Il Ciocco, Barga, Italy, September 1990. The lectures give an up-to-date and fairly complete coverage of this fundamental field in numerical mathematics. Topics related to sequential formulation include a review of classical methods with some new proofs, and extensive presentations of complexity results, of algorithms for linear least squares, of the recently developed ABS methods, of multigrid methods, of preconditioned conjugate gradient methods for H-matrices, of domain decomposition methods, of hierarchical basis methods, and of splitting type methods. With reference to implementations on multiprocessors, topics include algorithms for general sparse systems, factorization methods for dense matrices, Gaussian elimination on systolic arrays, and methods for linear systems arising in optimization problems. The book will be useful as an introduction to a field still in rapid growth and as a reference to the most recent results in the field.
Open Data:
Proceedings of the NATO Advanced Study Institute on Computer Algorithms for Solving Linear Equations: The State of the Art, held at Il Ciocco, Barga, Italy, September 9-21, 1990
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