On Using Reinforcement Learning to Solve Sparse Linear Systems

Author:

Kuefler Erik,Chen Tzu-Yi

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Benzi, M.: Preconditioning techniques for large linear systems: A survey. J. of Comp. Physics 182(2), 418–477 (2002)

2. Saad, Y., van der Vorst, H.A.: Iterative solution of linear systems in the 20th century. J. Comput. Appl. Math. 123(1-2), 1–33 (2000)

3. Bhowmick, S., Eijkhout, V., Freund, Y., Fuentes, E., Keyes, D.: Application of machine learning to the selection of sparse linear solvers. International Journal of High Performance Computing Applications (submitted, 2006)

4. Lecture Notes in Computer Science;A.L. Holloway,2007

5. Xu, S., Zhang, J.: Solvability prediction of sparse matrices with matrix structure-based preconditioners. In: Proc. Preconditioning 2005, Atlanta, Georgia (2005)

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