activity
20222025
most citedAn inexact regularized proximal Newton method for nonconvex and nonsmooth optimization

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2025

Convergence analysis of inexact MBA method for constrained upper- optimization problems

Ruyu Liu, Shaohua Pan

This paper concerns a class of constrained optimization problems in which, the objective and constraint functions are both upper-. For such nonconvex and nonsmooth o…

math.OC2025

An inexact variable metric proximal linearization method for composite optimization on manifolds

Hao He, Ruyu Liu, Yitian Qian +1

This paper concerns the minimization of the composition of a nonsmooth convex function and a mapping over a -smooth embedded closed submanifo…

math.OC2025

Convergence Analysis of an Inexact MBA Method for Constrained DC Problems

Ruyu Liu, Shaohua Pan, Shujun Bi

This paper concerns a class of constrained difference-of-convex (DC) optimization problems in which, the constraint functions are continuously differentiable and their gradients ar…

math.OC2023

An inexact -order regularized proximal Newton method for nonconvex composite optimization

Ruyu Liu, Shaohua Pan, Yitian Qian

This paper concerns the composite problem of minimizing the sum of a twice continuously differentiable function and a nonsmooth convex function. For this class of nonconvex and…

math.OC2023

A VMiPG method for composite optimization with nonsmooth term having no closed-form proximal mapping

Taiwei Zhang, Shaohua Pan, Ruyu Liu

This paper concerns the minimization of the sum of a twice continuously differentiable function and a nonsmooth convex function without closed-form proximal mapping. For th…

math.OC2023

An inexact LPA for DC composite optimization and application to matrix completions with outliers

Ting Tao, Ruyu Liu, Shaohua Pan

This paper concerns a class of DC composite optimization problems which, as an extension of convex composite optimization problems and DC programs with nonsmooth components, often…

math.OC2022★ 1 cited

An inexact regularized proximal Newton method for nonconvex and nonsmooth optimization

Ruyu Liu, Shaohua Pan, Yuqia Wu +1

This paper focuses on the minimization of a sum of a twice continuously differentiable function and a nonsmooth convex function. An inexact regularized proximal Newton method i…