Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method

Bibliographic Details
Main Author:	El-Ghajiji, Otman Abubaker
Published:	University of Bath 1995
Subjects:	005 Computer software & programming
Online Access:	https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299647

id	ndltd-bl.uk-oai-ethos.bl.uk-299647
record_format	oai_dc
spelling	ndltd-bl.uk-oai-ethos.bl.uk-2996472019-01-04T03:25:28ZInvestigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient methodEl-Ghajiji, Otman Abubaker1995005Computer software & programmingUniversity of Bathhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299647Electronic Thesis or Dissertation
collection	NDLTD
sources	NDLTD
topic	005 Computer software & programming
spellingShingle	005 Computer software & programming El-Ghajiji, Otman Abubaker Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method
author	El-Ghajiji, Otman Abubaker
author_facet	El-Ghajiji, Otman Abubaker
author_sort	El-Ghajiji, Otman Abubaker
title	Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method
title_short	Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method
title_full	Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method
title_fullStr	Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method
title_full_unstemmed	Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method
title_sort	investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method
publisher	University of Bath
publishDate	1995
url	https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299647
work_keys_str_mv	AT elghajijiotmanabubaker investigationsintothesuitabilityofparallelcomputingarchitecturesforthesolutionoflargesparsematricesusingthepreconditionedconjugategradientmethod
_version_	1718805954288418816

Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method

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