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