Row-Action Methods for Massive Inverse Problems
Numerous scientific applications have seen the rise of massive inverse problems, where there are too much data to implement an all-at-once strategy to compute a solution. Additionally, tools for regularizing ill-posed inverse problems are infeasible when the problem is too large. This thesis focuses...
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Virginia Tech
2019
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| Online Access: | http://hdl.handle.net/10919/90377 |