most citedA semi-proximal augmented Lagrangian based decomposition method for primal block angular convex composite quadratic conic programming problems

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

math.OC2018★ 1 cited

A semi-proximal augmented Lagrangian based decomposition method for primal block angular convex composite quadratic conic programming problems

Xin-Yee Lam, Defeng Sun, Kim-Chuan Toh

We propose a semi-proximal augmented Lagrangian based decomposition method for convex composite quadratic conic programming problems with primal block angular structures. Using our…