Acceleration strategies for restarted minimum residual methods
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Thu, 22/02/2001 14:00 |
Dr Oliver Ernst (Bergakademie Freiberg) |
Computational Mathematics and Applications  |
Comlab |
| This talk reviews some recent joint work with Michael Eiermann and Olaf Schneider which introduced a framework for analyzing some popular techniques for accelerating restarted Krylov subspace methods for solving linear systems of equations. Such techniques attempt to compensate for the loss of information due to restarting methods like GMRES, the memory demands of which are usually too high for it to be applied to large problems in unmodified form. We summarize the basic strategies which have been proposed and present both theoretical and numerical comparisons. | |||