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20152025
most citedAuxiliary Problem Principle of augmented Lagrangian with Varying Core Functions for Large-Scale Structured Convex Problems

4 citations · 11 across the 13 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

math.OC2018

Stochastic Primal-Dual Coordinate Method for Nonlinear Convex Cone Programs

Daoli Zhu, Lei Zhao

Block coordinate descent (BCD) methods and their variants have been widely used in coping with large-scale nonconstrained optimization problems in many fields such as imaging proce…

math.OC2018★ 2 cited

First-Order Primal-Dual Method for Nonlinear Convex Cone Programming

Lei Zhao, Daoli Zhu

Nonlinear Convex Cone Programming (NCCP) problems are important and have many practical applications. In this paper, we introduces a flexible first-order primal-dual algorithm call…