Improving Monte Carlo Linear Solvers Through Better Iterative Processes
Monte Carlo (MC) linear solvers are fundamentally based on the ability to estimate a matrix-vector product, using a random sampling process. They use the fact that deterministic stationary iterative processes to solve linear systems can be written as sums of a series of matrix-vector products. Repla...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/FSU_migr_etd-0017 |