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Sparse matrix methods based on orthogonality and conjugacyA matrix having a high percentage of zero elements is called spares. In the solution of systems of linear equations or linear least squares problems involving large sparse matrices, significant saving of computer cost can be achieved by taking advantage of the sparsity. The conjugate gradient algorithm and a set of related algorithms are described.
Document ID
19730017890
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Lawson, C. L. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 2, 2013
Publication Date
June 15, 1973
Subject Category
Mathematics
Report/Patent Number
NASA-CR-133231
JPL-TM-33-627
Accession Number
73N26617
Funding Number(s)
CONTRACT_GRANT: NAS7-100
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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