Three methods for the parallel solution of a large, sparse system of linear equations by multiprocessors

2015-03-132015-03-131989http://hdl.handle.net/11441/23483In this paper three methods for the parallel solution of large-scale, sparse, linear equation systems are presented and compared. Both, factorization of the matrix and forward backward. Processes have been considered. A multiprocessor architecture has been simulated and results are presented corresponding to eight examples taken from power systems field, ranging from 117 to 660 equations.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Sparse systemsMultiprocessorParallel processingSimulationThree methods for the parallel solution of a large, sparse system of linear equations by multiprocessorsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://idus.us.es/xmlui/handle/11441/23483