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Solving Sparse Symmetric Sets of Linear Equations by Preconditioned Conjugate Gradients

โœ Scribed by Munksgaard, N.

Book ID
118013359
Publisher
Association for Computing Machinery
Year
1980
Tongue
English
Weight
726 KB
Volume
6
Category
Article
ISSN
0098-3500

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๐Ÿ“œ SIMILAR VOLUMES

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## Abstract The convergence properties of the conjugate gradient method are discussed in relation to relaxation methods and Chebyshev accelerated Jacobi iteration when applied to the solution of large sets of linear equations which have a sparse, symmetric and positive definite coefficient matrix.

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