Algorithms for Sparsity-Constrained Optimization: 261 by Sohail Bahmani

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By Sohail Bahmani

This thesis demonstrates options that supply swifter and extra exact suggestions to a number of difficulties in computer studying and sign processing. the writer proposes a "greedy" set of rules, deriving sparse recommendations with promises of optimality. using this set of rules eliminates some of the inaccuracies that happened with using earlier models.

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