An Efficient Algorithm for Unbalanced 1D Transportation

Fuente: arXiv
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Auteur principal: Gouvine, Gabriel
Format: Preprint
Publié: 2023
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author Gouvine, Gabriel
author_facet Gouvine, Gabriel
contents Optimal transport (OT) and unbalanced optimal transport (UOT) are central in many machine learning, statistics and engineering applications. 1D OT is easily solved, with complexity O(n log n), but no efficient algorithm was known for 1D UOT. We present a new approach that leverages the successive shortest path algorithm for the corresponding network flow problem. By employing a suitable representation, we bundle together multiple steps that do not change the cost of the shortest path. We prove that our algorithm solves 1D UOT in O(n log n), closing the gap.
format Preprint
id arxiv_https___arxiv_org_abs_2311_17704
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle An Efficient Algorithm for Unbalanced 1D Transportation
Gouvine, Gabriel
Performance
Computational Complexity
Data Structures and Algorithms
68
E.1; F.2.2
Optimal transport (OT) and unbalanced optimal transport (UOT) are central in many machine learning, statistics and engineering applications. 1D OT is easily solved, with complexity O(n log n), but no efficient algorithm was known for 1D UOT. We present a new approach that leverages the successive shortest path algorithm for the corresponding network flow problem. By employing a suitable representation, we bundle together multiple steps that do not change the cost of the shortest path. We prove that our algorithm solves 1D UOT in O(n log n), closing the gap.
title An Efficient Algorithm for Unbalanced 1D Transportation
topic Performance
Computational Complexity
Data Structures and Algorithms
68
E.1; F.2.2
url https://arxiv.org/abs/2311.17704