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math.OC2024
A Neural Network Framework for High-Dimensional Dynamic Unbalanced Optimal Transport
Wei Wan, Jiangong Pan, Yuejin Zhang +2
In this paper, we introduce a neural network-based method to address the high-dimensional dynamic unbalanced optimal transport (UOT) problem. Dynamic UOT focuses on the optimal tra…
math.OC2023
Riemannian Anderson Mixing Methods for Minimizing -Functions on Riemannian Manifolds
Zanyu Li, Chenglong Bao
The Anderson Mixing (AM) method is a popular approach for accelerating fixed-point iterations by leveraging historical information from previous steps. In this paper, we introduce…