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Autori principali: Lyu, Ziyuan, Wang, Zihao, Wu, Hao, Yang, Shuai
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2501.06578
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author Lyu, Ziyuan
Wang, Zihao
Wu, Hao
Yang, Shuai
author_facet Lyu, Ziyuan
Wang, Zihao
Wu, Hao
Yang, Shuai
contents In [Q. Liao et al., Commun. Math. Sci., 20(2022)], a linear-time Sinkhorn algorithm is developed based on dynamic programming, which significantly reduces the computational complexity involved in solving optimal transport problems. However, this algorithm is specifically designed for the Wasserstein-1 metric. We are curious whether the preceding dynamic programming framework can be extended to tackle optimal transport problems with different transport costs. Notably, two special kinds of optimal transport problems, the Sinkhorn ranking and the far-field reflector and refractor problems, are closely associated with the log-type transport costs. Interestingly, by employing series rearrangement and dynamic programming techniques, it is feasible to perform the matrix-vector multiplication within the Sinkhorn iteration in linear time for this type of cost. This paper provides a detailed exposition of its implementation and applications, with numerical simulations demonstrating the effectiveness and efficiency of our methods.
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id arxiv_https___arxiv_org_abs_2501_06578
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Linear Complexity Algorithm for Optimal Transport Problem with Log-type Cost
Lyu, Ziyuan
Wang, Zihao
Wu, Hao
Yang, Shuai
Optimization and Control
In [Q. Liao et al., Commun. Math. Sci., 20(2022)], a linear-time Sinkhorn algorithm is developed based on dynamic programming, which significantly reduces the computational complexity involved in solving optimal transport problems. However, this algorithm is specifically designed for the Wasserstein-1 metric. We are curious whether the preceding dynamic programming framework can be extended to tackle optimal transport problems with different transport costs. Notably, two special kinds of optimal transport problems, the Sinkhorn ranking and the far-field reflector and refractor problems, are closely associated with the log-type transport costs. Interestingly, by employing series rearrangement and dynamic programming techniques, it is feasible to perform the matrix-vector multiplication within the Sinkhorn iteration in linear time for this type of cost. This paper provides a detailed exposition of its implementation and applications, with numerical simulations demonstrating the effectiveness and efficiency of our methods.
title A Linear Complexity Algorithm for Optimal Transport Problem with Log-type Cost
topic Optimization and Control
url https://arxiv.org/abs/2501.06578