activity
20222025
most citedSuperlinear Optimization Algorithms

2 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

math.OC2025

An Efficient Algorithm for Learning-Based Visual Localization

Jindi Zhong, Ziyuan Guo, Hongxia Wang +1

This paper addresses the visual localization problem in Global Positioning System (GPS)-denied environments, where computational resources are often limited. To achieve efficient a…

math.OC2024

A novel algorithm for optimizing bundle adjustment in image sequence alignment

Hailin Xu, Hongxia Wang, Huanshui Zhang

The Bundle Adjustment (BA) model is commonly optimized using a nonlinear least squares method, with the Levenberg-Marquardt (L-M) algorithm being a typical choice. However, despite…

math.OC2024

Distributed Optimization Algorithm with Superlinear Convergence Rate

Yeming Xu, Ziyuan Guo, Kaihong Lu +1

This paper considers distributed optimization problems, where each agent cooperatively minimizes the sum of local objective functions through the communication with its neighbors.…

math.OC2024★ 2 cited

Superlinear Optimization Algorithms

Hongxia Wang, Yeming Xu, Ziyuan Guo +1

This paper proposes several novel optimization algorithms for minimizing a nonlinear objective function. The algorithms are enlightened by the optimal state trajectory of an optima…

math.OC2023

Optimization Methods Rooting in Optimal Control

Huanshui Zhang, Hongxia Wang

In the paper, we propose solving optimization problems (OPs) and understanding the Newton method from the optimal control view. We propose a new optimization algorithm based on the…

math.OC2023★ 1 cited

Optimization Method Based On Optimal Control

Yeming Xu, Ziyuan Guo, Hongxia Wang +1

In this paper, we focus on a method based on optimal control to address the optimization problem. The objective is to find the optimal solution that minimizes the objective functio…

math.OC2023★ 1 cited

Reinforcement Learning-Based Optimal Control for Multiplicative-Noise Systems with Input Delay

Hongxia Wang, Fuyu Zhao, Zhaorong Zhang +2

In this paper, the reinforcement learning (RL)-based optimal control problem is studied for multiplicative-noise systems, where input delay is involved and partial system dynamics…

math.OC2022★ 1 cited

Mismatched Disturbance Rejection Control for Second-Order Discrete-Time Systems

Shichao Lv, Kai Peng, Hongxia Wang +1

This paper is concerned with mismatched disturbance rejection control for the second-order discrete-time systems.Different from previous work, the controllability of the system is…