4 citations · 4 across the 4 of their papers we have counts for
6 papers
Global Merit Complexity of Regularized Newton Methods for Convex Multiobjective Optimization
Yuqia Wu, Yue Wang, Yaohua Hu
We investigate a regularized Newton method for unconstrained convex multi-objective optimization with twice continuously differentiable objectives whose Hessians are Lipschitz cont…
Enhancement of signal-to-noise ratio at a high-order exceptional point of coherent perfect absorption
Zi-Qi Wang, Yi-Ming Sun, Yao-Dong Hu +4
Exceptional points (EPs) in non-Hermitian systems offer a remarkably strong response to weak perturbations, but the nonorthogonal nature of the corresponding eigenvectors causes no…
Regularization for Sparse Optimization: Consistency and Global Convergence
Yaohua Hu, Hao Wang, Xiaoqi Yang
The regularization method has a strong sparsity promoting capability in approaching sparse solutions of linear inverse problems and gained successful applicatio…
Dynamic Proximal Gradient Algorithms for Schatten- Quasi-Norm Regularized Problems
Weiping Shen, Linglingzhi Zhu, Yaohua Hu +2
This paper investigates numerical solution methods for the Schatten- quasi-norm regularized problem with , which has been widely studied for finding low-rank soluti…
A Globalized Semismooth Newton Method for Prox-regular Optimization Problems
Yuqia Wu, Pengcheng Wu, Yaohua Hu +2
We are concerned with a class of nonconvex and nonsmooth composite optimization problems, comprising a twice differentiable function and a prox-regular function. We establish a suf…
An Inexact Variable Metric Proximal Gradient-subgradient Algorithm for a Class of Fractional Optimization Problems
Lei Yang, Xiangrui Kong, Min Zhang +1
In this paper, we study a class of fractional optimization problems, in which the numerator of the objective is the sum of a convex function and a differentiable function with a Li…