CAREER: Randomized Iterative Methods for Corrupted Data, Constrained Problems, and Compressed Updates
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The scientific goal of this CAREER project is to develop theoretically-founded, randomized iterative methods for problems common in numerical linear algebra (NLA) and optimization, and extend their application and analysis to face a new and important set of challenges. The incredible growth in size and complexity of data sets commonly analyzed has…
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