Parallel Hybrid Monte Carlo Algorithms for Matrix Computations-Reference-Cited by-同舟云学术

Parallel Hybrid Monte Carlo Algorithms for Matrix Computations

Published:2005 Issue: Volume: Page:752-759
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Alexandrov V.,Atanassov E.,Dimov I.,Branford S.,Thandavan A.,Weihrauch C.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11428862_102

Reference11 articles.

1. Lecture Notes in Computer Science;B. Fathi,2002

2. Ortega, J.: Numerical Analysis. SIAM, USA (1990)

3. Alexandrov, V.N.: Efficient parallel Monte Carlo Methods for Matrix Computation. In: Mathematics and computers in Simulation, vol. 47, pp. 113–122. Elsevier, Netherlands (1998)

4. Golub, G.H., Van Loan, C.F.: Matrix Computations. The Johns Hopkins Univ. Press, Baltimore (1996)

5. Taft, K., Fathi Vajargah, B.: Monte Carlo Method for Solving Systems of Linear Algebraic Equations with Minimum Markov Chains. In: International Conference PDPTA 2000, Las Vegas (2000)

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