A class of optimized row projection methods for solving large nonsymmetric linear systems

The optimal and the accelerated row projection methods for solving large nonsymmetric linear systems were discussed. These algorithms use a partition strategy into blocks based on sequential estimations of their condition numbers. These algorithms are extremely fast and efficient, but they do not co...

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Autores principales: Scolnik, H., Echebest, N., Guardarucci, M.T., Vacchino, M.C.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01689274_v41_n4_p499_Scolnik
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spelling todo:paper_01689274_v41_n4_p499_Scolnik2023-10-03T15:06:47Z A class of optimized row projection methods for solving large nonsymmetric linear systems Scolnik, H. Echebest, N. Guardarucci, M.T. Vacchino, M.C. Parallel iterative methods Projected aggregate methods Row partition strategies Convergence of numerical methods Heuristic methods Linear systems Matrix algebra Optimization Parallel algorithms Partial differential equations Quadratic programming Vectors Projected aggregate methods (PAM) Row partition strategies Iterative methods The optimal and the accelerated row projection methods for solving large nonsymmetric linear systems were discussed. These algorithms use a partition strategy into blocks based on sequential estimations of their condition numbers. These algorithms are extremely fast and efficient, but they do not converge always. A block splitting algorithm which fulfills the conditions based on the sequential estimations of the condition numbers was also discussed. The performance of the projection methods was highly dependent on the way in which the rows of the matrix were split into blocks. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01689274_v41_n4_p499_Scolnik
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Parallel iterative methods
Projected aggregate methods
Row partition strategies
Convergence of numerical methods
Heuristic methods
Linear systems
Matrix algebra
Optimization
Parallel algorithms
Partial differential equations
Quadratic programming
Vectors
Projected aggregate methods (PAM)
Row partition strategies
Iterative methods
spellingShingle Parallel iterative methods
Projected aggregate methods
Row partition strategies
Convergence of numerical methods
Heuristic methods
Linear systems
Matrix algebra
Optimization
Parallel algorithms
Partial differential equations
Quadratic programming
Vectors
Projected aggregate methods (PAM)
Row partition strategies
Iterative methods
Scolnik, H.
Echebest, N.
Guardarucci, M.T.
Vacchino, M.C.
A class of optimized row projection methods for solving large nonsymmetric linear systems
topic_facet Parallel iterative methods
Projected aggregate methods
Row partition strategies
Convergence of numerical methods
Heuristic methods
Linear systems
Matrix algebra
Optimization
Parallel algorithms
Partial differential equations
Quadratic programming
Vectors
Projected aggregate methods (PAM)
Row partition strategies
Iterative methods
description The optimal and the accelerated row projection methods for solving large nonsymmetric linear systems were discussed. These algorithms use a partition strategy into blocks based on sequential estimations of their condition numbers. These algorithms are extremely fast and efficient, but they do not converge always. A block splitting algorithm which fulfills the conditions based on the sequential estimations of the condition numbers was also discussed. The performance of the projection methods was highly dependent on the way in which the rows of the matrix were split into blocks.
format JOUR
author Scolnik, H.
Echebest, N.
Guardarucci, M.T.
Vacchino, M.C.
author_facet Scolnik, H.
Echebest, N.
Guardarucci, M.T.
Vacchino, M.C.
author_sort Scolnik, H.
title A class of optimized row projection methods for solving large nonsymmetric linear systems
title_short A class of optimized row projection methods for solving large nonsymmetric linear systems
title_full A class of optimized row projection methods for solving large nonsymmetric linear systems
title_fullStr A class of optimized row projection methods for solving large nonsymmetric linear systems
title_full_unstemmed A class of optimized row projection methods for solving large nonsymmetric linear systems
title_sort class of optimized row projection methods for solving large nonsymmetric linear systems
url http://hdl.handle.net/20.500.12110/paper_01689274_v41_n4_p499_Scolnik
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