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math.OC2020
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers
April Sagan, John E. Mitchell
Rank minimization is of interest in machine learning applications such as recommender systems and robust principal component analysis. Minimizing the convex relaxation to the rank…
math.OC2018
Solving Linear Programs with Complementarity Constraints using Branch-and-Cut
Bin Yu, John E. Mitchell, Jong-Shi Pang
A linear program with linear complementarity constraints (LPCC) requires the minimization of a linear objective over a set of linear constraints together with additional linear com…