40 citations · 91 across the 18 of their papers we have counts for
4 papers · 1 filter
A Study of Piecewise Linear-Quadratic Programs
Ying Cui, Tsung-Hui Chang, Mingyi Hong +1
Motivated by a growing list of nontraditional statistical estimation problems of the piecewise kind, this paper provides a survey of known results supplemented with new results for…
On the R-superlinear convergence of the KKT residues generated by the augmented Lagrangian method for convex composite conic programming
Ying Cui, Defeng Sun, Kim-Chuan Toh
Due to the possible lack of primal-dual-type error bounds, the superlinear convergence for the Karush-Kuhn-Tucker (KKT) residues of the sequence generated by augmented Lagrangian m…
A complete characterization on the robust isolated calmness of the nuclear norm regularized convex optimization problems
Ying Cui, Defeng Sun
In this paper, we provide a complete characterization on the robust isolated calmness of the Karush-Kuhn-Tucker (KKT) solution mapping for convex constrained optimization problems…
Quadratic growth conditions for convex matrix optimization problems associated with spectral functions
Ying Cui, Chao Ding, Xinyuan Zhao
In this paper, we provide two types of sufficient conditions for ensuring the quadratic growth conditions of a class of constrained convex symmetric and non-symmetric matrix optimi…