Dual-density-based reweighted $$\ell _{1}$$-algorithms for a class of $$\ell _{0}$$-minimization problems: Dual-density-based reweighted \(\ell_1\)-algorithms for a class of \(\ell_0\)-minimization problems

Συγγραφείς: Jialiang Xu, Yun-Bin Zhao

Πηγή: Journal of Global Optimization. 81:749-772

Θεματικοί όροι: bilevel optimization, FOS: Computer and information sciences, Numerical optimization and variational techniques, strict complementarity, convex relaxation, optimality condition, Computer Science - Information Theory, Information Theory (cs.IT), 4. Education, merit functions for sparsity, 0211 other engineering and technologies, 02 engineering and technology, Nonlinear programming, Optimization and Control (math.OC), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, dual-density-based algorithm, \(\ell_0\)-minimization, Mathematics - Optimization and Control

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://link.springer.com/content/pdf/10.1007/s10898-021-01013-2.pdf
http://arxiv.org/abs/2003.13047
https://zbmath.org/7433937
https://doi.org/10.1007/s10898-021-01013-2
https://arxiv.org/abs/2003.13047