Solving linear finite element systems by normalized approximate matrix factorization semi-direct methods

Author:

Lipitakis Elias A.,Evans David J.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference21 articles.

1. Conjugate gradient methods for partial differential equations,;Chandra;Adv. in Comput. Meth. for P.D.E.'s, AICA,1975

2. Several strategies for reducing the bandwidths of matrices;Cuthill,1972

3. Reducing the bandwidth of sparse symmetric matrices;Cuthill,1969

4. A method of normalized block iteration;Cuthill;J. ACM,1959

5. The analysis and application of sparse matrix algorithms in the finite element method;Evans,1973

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1. High Performance Inverse Preconditioning;Archives of Computational Methods in Engineering;2008-12-31

2. OpenMP based parallel normalized direct methods for sparse finite element linear systems;The Journal of Supercomputing;2008-03-15

3. An Improved Parallel Algorithm for Computing Approximate Inverses by Reducing Synchronizations;2008 International Symposium on Parallel and Distributed Computing;2008

4. Matching high performance approximate inverse preconditioning to architectural platforms;The Journal of Supercomputing;2007-03-23

5. Normalized explicit finite element approximate inverse preconditioning;Computers & Structures;2004-11

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