2 citations · 6 across the 18 of their papers we have counts for
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math.OC2020★ 1 cited
An efficient implementable inexact entropic proximal point algorithm for a class of linear programming problems
Hong T. M. Chu, Ling Liang, Kim-Chuan Toh +1
We introduce a class of specially structured linear programming (LP) problems, which has favorable modeling capability for important application problems in different areas such as…
math.OC2020★ 1 cited
An Inexact Augmented Lagrangian Method for Second-order Cone Programming with Applications
Ling Liang, Defeng Sun, Kim-Chuan Toh
In this paper, we adopt the augmented Lagrangian method (ALM) to solve convex quadratic second-order cone programming problems (SOCPs). Fruitful results on the efficiency of the AL…
math.OC2020
On Degenerate Doubly Nonnegative Projection Problems
Ying Cui, Ling Liang, Defeng Sun +1
The doubly nonnegative (DNN) cone, being the set of all positive semidefinite matrices whose elements are nonnegative, is a popular approximation of the computationally intractable…