LRINorm swMATH ID: 26564 Software Authors: C. Grussler Description: LRINorm - A MATLAB Package for Rank Constrained Optimization by Low-Rank Inducing Norms and Non-Convex Proximal Splitting Methods. Low-rank rank inducing norms and non-convex Proximal Splitting Algoriths attempt to find exact rank/cardinality-r solutions to minimization problems with convex loss functions, i.e., avoiding of regularzation heuristics. This project provides MATLAB implementations for the proximal mappings of the low-rank inducing Frobenius and Spectral norms, as well as, their epi-graph projections and non-convex counter parts. Homepage: https://github.com/LowRankOpt/LRINorm Source Code: https://github.com/LowRankOpt/LRINorm Dependencies: Matlab Related Software: LRIPy; UNLocBoX; GitHub; SeDuMi Interface; SDPT3 Cited in: 2 Publications Cited by 2 Authors 2 Giselsson, Pontus 2 Grussler, Christian Cited in 2 Serials 1 Journal of Optimization Theory and Applications 1 SIAM Journal on Optimization Cited in 2 Fields 2 Operations research, mathematical programming (90-XX) 1 Linear and multilinear algebra; matrix theory (15-XX) Citations by Year