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Abstract: . A parallel preconditioner is presented for the solution of general sparse linear systems of equations. A sparse approximate inverse is computed explicitly and then applied as a preconditioner to an iterative method. The computation of the preconditioner is inherently parallel, and its application only requires a matrix-vector product. The sparsity pattern of the approximate inverse is not imposed a priori but captured automatically. This keeps the amount of work and the number of nonzero... (Update)
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BibTeX entry: (Update)
M. J. Grote and T. Huckle. Parallel Preconditioning with Sparse Approximate Inverses. SIAM Journal on Scientific Computing, 1996. To appear. http://citeseer.ist.psu.edu/grote97parallel.html More
@article{ grote97parallel,
author = "Marcus J. Grote and Thomas Huckle",
title = "Parallel Preconditioning with Sparse Approximate Inverses",
journal = "SIAM Journal on Scientific Computing",
volume = "18",
number = "3",
pages = "838--853",
year = "1997",
url = "citeseer.ist.psu.edu/grote97parallel.html" }
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