2 citations · 4 across the 8 of their papers we have counts for
9 papers
OCP-GN: A Scalable Second-order Optimizer for Stochastic Optimization
Jindi Zhong, Congyaohui Yin, Zhaorong Zhang +1
This paper proposes a novel second-order optimization algorithm based on the Optimal Control Principle (OCP), applicable to large-scale optimization problems in neural network trai…
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…
Aggregative games with bilevel structures: Distributed algorithms and convergence analysis
Kaihong Lu, Huanshui Zhang, Long Wang
In this paper, the problem of distributively seeking the equilibria of aggregative games with bilevel structures is studied. Different from the traditional aggregative games, here…
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…
Optimal Control of Discrete-Time Nonlinear Systems
Chuanzhi Lv, Xunmin Yin, Hongdan Li +1
This paper focuses on optimal control problem for a class of discrete-time nonlinear systems. In practical applications, computation time is a crucial consideration when solving no…
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.…
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…
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…
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…