2 citations · 3 across the 2 of their papers we have counts for
3 papers
math.OC2023★ 1 cited
Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds
Kangkang Deng, Jiang Hu, Hongxia Wang
We study decentralized smooth optimization problems over compact submanifolds. Recasting it as a composite optimization problem, we propose a decentralized Douglas-Rachford splitti…
math.OC2020
An Inexact Manifold Augmented Lagrangian Method for Adaptive Sparse Canonical Correlation Analysis with Trace Lasso Regularization
Kangkang Deng, Zheng Peng
Canonical correlation analysis (CCA for short) describes the relationship between two sets of variables by finding some linear combinations of these variables that maximizing the c…
math.OC2019★ 2 cited
An inexact augmented Lagrangian method for nonsmooth optimization on Riemannian manifold
Deng Kangkang, Peng Zheng
We consider a nonsmooth optimization problem on Riemannian manifold, whose objective function is the sum of a differentiable component and a nonsmooth convex function. We propose a…