Randomized methods for computing optimal transport without regularization and their convergence analysis

Randomized methods for computing optimal transport without regularization and their convergence analysis

The optimal transport (OT) problem can be reduced to a linear programming (LP) problem through discretization. In this paper, we introduced the random block coordinate descent (RBCD) methods to directly solve this LP problem. Our approach involves restricting the potentially large-scale optimization...

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Bibliographic Details
Main Authors: Xie, Yue, Wang, Zhongjian, Zhang, Zhiwen
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2024
Subjects:
Mathematical Sciences
Optimal transport
Deep particle method
Online Access:https://hdl.handle.net/10356/178997
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Institution: Nanyang Technological University
Language: English

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https://hdl.handle.net/10356/178997

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