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Second Conference on Numerical Analysis and Applications
June 11-15, 2000
University of Rousse
Rousse, Bulgaria

Organizers
Plamen Yalamov, Marcin Paprzycki, Lubin Vulkov

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Monte Carlo techniques for solving large sparse linear systems
by
Todor Dimov
Central Laboratory for Parallel Processing, Bulgarian Academy of Sciences, Acad. G. Bonchev Bl. 25A, 1113 Sofia, Bulgaria
Coauthors: Rayna Georgieva

Iterative Monte Carlo algorithms, appropriate for solving the linear systems with large scale sparse matrices of general case are considered. The algorithm with minimal stochastic (probable) error, based on adjoint formulation of the problem, is presented. Balancing of the both systematic and stochastic errors is studied. Numerical results for some test matrices are performed. The algorithms under consideration are well parallelized.

http://copern.bas.bg:80/~tdimov

Date received: February 24, 2000

Copyright © 2000 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caen-36.