3 citations · 6 across the 15 of their papers we have counts for
4 papers · 1 filter
1-norm minimization and minimum-rank structured sparsity for symmetric and ah-symmetric generalized inverses: rank one and two
Luze Xu, Marcia Fampa, Jon Lee
Generalized inverses are important in statistics and other areas of applied matrix algebra. A \emph{generalized inverse} of a real matrix is a matrix that satisfies the Moo…
Gaining or Losing Perspective for Piecewise-Linear Under-Estimators of Convex Univariate Functions
Jon Lee, Daphne Skipper, Emily Speakman +1
We study MINLO (mixed-integer nonlinear optimization) formulations of the disjunction , where is a binary indicator of (),…
Improving proximity bounds using sparsity
Jon Lee, Joseph Paat, Ingo Stallknecht +1
We refer to the distance between optimal solutions of integer programs and their linear relaxations as proximity. In 2018, Eisenbrand and Weismantel proved that proximity is indepe…
Experimental analysis of local searches for sparse reflexive generalized inverses
Marcia Fampa, Jon Lee, Gabriel Ponte +1
The well-known M-P (Moore-Penrose) pseudoinverse is used in several linear-algebra applications; for example, to compute least-squares solutions of inconsistent systems of linear e…