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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Detalles Bibliográficos
Autores principales: Scolnik, H., Echebest, N., Guardarucci, M.T., Vacchino, M.C.
Formato: JOUR
Materias:
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)
Iterative methods
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01689274_v41_n4_p499_Scolnik
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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