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Res Sq ; 2023 Nov 28.
Article in English | MEDLINE | ID: mdl-38076799

ABSTRACT

Sparsity finds applications in diverse areas such as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts and need less storage. This paper proposes a heuristic method for retrieving sparse approximate solutions of optimization problems via minimizing the ℓp quasi-norm, where 0

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