Efficient Nonnegative Matrix Factorization Via Modified Monotone Barzilai-Borwein Method with Adaptive Step Sizes Strategy

DOI10.4208/jcm.2201-m2019-0145OpenAlexW4375843113MaRDI QIDQ6049032

Xuenian Liu, Ji-Cheng Li, Wenbo Li

Publication date: 16 October 2023

Published in: Journal of Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4208/jcm.2201-m2019-0145

zbMATH Keywords

active set strategyadaptive step sizesalternating nonnegative least squareslarger step sizemonotone projected Barzilai-Borwein method

Mathematics Subject Classification ID

Cites Work

• Unnamed Item
• Modified active set projected spectral gradient method for bound constrained optimization
• Alternating projected Barzilai-Borwein methods for nonnegative matrix factorization
• Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization
• Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming
• An active set feasible method for large-scale minimization problems with bound constraints
• On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
• An efficient monotone projected Barzilai-Borwein method for nonnegative matrix factorization
• Document clustering using nonnegative matrix factorization
• Two-Point Step Size Gradient Methods
• An Active Set Newton Algorithm for Large-Scale Nonlinear Programs with Box Constraints
• Nonmonotone Spectral Projected Gradient Methods on Convex Sets
• NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization
• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization

This page was built for publication: Efficient Nonnegative Matrix Factorization Via Modified Monotone Barzilai-Borwein Method with Adaptive Step Sizes Strategy