activity
20122025
most citedThe Saddle Point Problem of Polynomials

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2025

A Generating Polynomial Based Two-Stage Optimization Method for Tensor Rank Decomposition

Zequn Zheng, Hongchao Zhang, Guangming Zhou

The tensor rank decomposition, also known as canonical polyadic(CP) or simply tensor decomposition, has a long history in multilinear algebra. However, computing a rank decompositi…

math.OC2024

The Rank-1 Completion Problem for Cubic Tensors

Jinling Zhou, Jiawang Nie, Zheng Peng +1

This paper studies the rank- tensor completion problem for cubic tensors. First of all, we show that this problem is equivalent to a special rank- matrix recovery problem. Wh…

math.OC2022

Robust approximation of chance constrained optimization with polynomial perturbation

Bo Rao, Liu Yang, Suhan Zhong +1

This paper proposes a robust approximation method for solving chance constrained optimization (CCO) of polynomials. Assume the CCO is defined with an individual chance constraint t…

math.OC2021

Distributionally Robust Optimization with Moment Ambiguity Sets

Jiawang Nie, Liu Yang, Suhan Zhong +1

This paper studies distributionally robust optimization (DRO) when the ambiguity set is given by moments for the distributions. The objective and constraints are given by polynomia…

math.OC2018★ 2 cited

The Saddle Point Problem of Polynomials

Jiawang Nie, Zi Yang, Guangming Zhou

This paper studies the saddle point problem of polynomials. We give an algorithm for computing saddle points. It is based on solving Lasserre's hierarchy of semidefinite relaxation…

math.OC2012

Minimizing Rational Functions by Exact Jacobian SDP Relaxation Applicable to Finite Singularities

Feng Guo, Li Wang, Guangming Zhou

This paper considers the optimization problem of minimizing a rational function. We reformulate this problem as polynomial optimization by the technique of homogenization. These tw…