Lp Quasi-norm Minimization: Algorithm and Applications

Autor:	Sleem, Omar M., Ashour, M. E., Aybat, N. S., Lagoa, Constantino M.
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	Sparsity finds applications in areas as diverse as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts, and their storage consumes less space. This paper proposes a heuristic method for retrieving sparse approximate solutions of optimization problems via minimizing the $\ell_{p}$ quasi-norm, where $0
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2301.12027 Zobrazit plný text záznamu View this record from Arxiv