activity
20152025
most citedConvergence analysis of a proximal-type algorithm for DC programs with applications to variable selection

3 citations · 8 across the 12 of their papers we have counts for

collaborators

13 papers

math.OC2025

The charnes--cooper transformation and fractional programs with convex polynomials

Chengmiao Yang, Liguo Jiao, Jae Hyoung Lee

This paper proposes a scheme based on the Charnes--Cooper transformation for solving a class of fractional programs with convex polynomial data. We employ the high-degree perturbat…

math.OC2025

First-order SDSOS-convex semi-algebraic optimization and exact SOCP relaxations

Chengmiao Yang, Liguo Jiao, Jae Hyoung Lee

In this paper, we define a new type of nonsmooth convex function, called {\em first-order SDSOS-convex semi-algebraic function}, which is an extension of the previously proposed fi…

math.OC2025

SPLD polynomial optimization and bounded degree SOS hierarchies

Liguo Jiao, Jae Hyoung Lee, Nguyen Bui Nguyen Thao

In this paper, we introduce a new class of structured polynomials, called separable plus lower degree (SPLD) polynomials. The formal definition of an SPLD polynomial, which extends…

math.OC2024★ 1 cited

A parameter-free approach for solving SOS-convex semi-algebraic fractional programs

Chengmiao Yang, Liguo Jiao, Jae Hyoung Lee

In this paper, we study a class of nonsmooth fractional programs {\rm (FP, for short)} with SOS-convex semi-algebraic functions. Under suitable assumptions, we derive a strong dual…

math.OC2022★ 2 cited

Utopia point method based robust vector polynomial optimization scheme

Tianyi Han, Liguo Jiao, Jae Hyoung Lee +1

In this paper, we focus on a class of robust vector polynomial optimization problems (RVPOP in short) without any convex assumptions. By combining/improving the utopia point method…

math.OC2022

A new scheme for approximating the weakly efficient solution set of vector rational optimization problems

Feng Guo, Liguo Jiao

In this paper, we provide a new scheme for approximating the weakly efficient solution set for a class of vector optimization problems with rational objectives over a feasible set…

math.OC2021

Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints

Yarui Duan, Liguo Jiao, Pengcheng Wu +1

In this paper, we are interested in the existence of Pareto solutions to vector polynomial optimization problems over a basic closed semi-algebraic set. By invoking some powerful t…

math.OC2020

On Solving a Class of Fractional Semi-infinite Polynomial Programming Problems

Feng Guo, Liguo Jiao

In this paper, we study a class of fractional semi-infinite polynomial programming (FSIPP) problems, in which the objective is a fraction of a convex polynomial and a concave polyn…

math.OC2020

On continuous selections of polynomial functions

Feng Guo, Liguo Jiao, Do Sang Kim

A continuous selection of polynomial functions is a continuous function whose domain can be partitioned into finitely many pieces on which the function coincides with a polynomial.…

math.OC2020

On types of KKT points in polynomial optimization

Feng Guo, Do Sang Kim, Liguo Jiao +1

Let be a real polynomial function with variables and be a basic closed semialgebraic set in . In this paper, we are interested in the problem of identifying…

math.OC2019

Polynomial mathematical programs with equilibrium constraints and semidefinite programming relaxations

Liguo Jiao, Jae Hyoung Lee, Tien-Son Pham

This paper focuses on the study of a mathematical program with equilibrium constraints, where the objective and the constraint functions are all polynomials. We present a method fo…

math.OC2019★ 2 cited

Multi-objective convex polynomial optimization and semidefinite programming relaxations

Jae Hyoung Lee, Nithirat Sisarat, Liguo Jiao

This paper aims to find efficient solutions to a multi-objective optimization problem (MP) with convex polynomial data. To this end, a hybrid method, which allows us to transform p…

math.OC2015★ 3 cited

Convergence analysis of a proximal-type algorithm for DC programs with applications to variable selection

Shuang Wu, Bui Van Dinh, Liguo Jiao +2

We consider a minimization problem of the form where is a differentiable function and…