By Sohail Bahmani

This thesis demonstrates options that offer speedier and extra exact ideas 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 gets rid of some of the inaccuracies that happened with using past models.

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Algorithms for Sparsity-Constrained Optimization: 261 (Springer Theses) by Sohail Bahmani

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