Efficient parallel processing technique for inverting matrices with random sparsity
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,General Computer Science
Link
https://digital-library.theiet.org/content/journals/10.1049/ip-e.1986.0029?crawler=true&mimetype=application/pdf
Reference21 articles.
1. Duff, I.S.: ‘Recent developments in the solution of large sparse linear equations’, Glowinski, R., Lions, J., Computing methods in applied sciences and engineering, (North Holland 1980), p. 407–424
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2. Partitioned sparse A/sup -1/ methods (power systems);IEEE Transactions on Power Systems;1990-05
3. Efficient sparse matrix factorization for circuit simulation on vector supercomputers;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;1989
4. Calculating an inverse matrix for lower triangular matrix using a two-processor system;International Journal of Electronics;1989-01
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