New PDF release: Algorithms for Sparsity-Constrained Optimization: 261

By Sohail Bahmani

This thesis demonstrates thoughts that offer quicker and extra actual strategies to a number of difficulties in desktop studying and sign processing. the writer proposes a "greedy" set of rules, deriving sparse options with promises of optimality. using this set of rules gets rid of the various 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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