Cited by 1,032Matrix Theory and AlgorithmsMathematical Inequalities and ApplicationsProbability and Statistical Research

A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices

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Sinkhorn, Richard·1964·The Annals of Mathematical Statistics

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  • Optimal transport with entropic regularization can be formulated as a strictly convex optimization problem that can be solved efficiently using the Sinkhorn-Knopp algorithm.

    “Optimal transport with entropic regularization can be formulated as a strictly convex optimization problem that can be solved efficiently using the alternating direction method (Sinkhorn–Knopp algorithm15,16).”
  • Solving the optimal transport problem is often prohibitively resource-intensive for large-scale biological data, but CINEMA-OT considers the tractable case of entropic regularization.

    “While solving the optimal transport problem is often prohibitively resource-intensive for large-scale biological data, CINEMA-OT considers the tractable case of entropic regularization15,16.”

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Authors
Sinkhorn, R.
Corresponding author
Sinkhorn, Richard
Venue
The Annals of Mathematical Statistics
Published
1964-06
Volume
35
Issue
2
Pages
876-879
ISSN
0003-4851 (ISSN-L)
OpenAlex
W1990283121
Cited by
1,032
References
2
Citations by year
2026: 60 · 2025: 69 · 2024: 70 · 2023: 83 · 2022: 65 · 2021: 80 · 2020: 65 · 2019: 49 · 2018: 42 · 2017: 37 · 2016: 30 · 2015: 38 · 2014: 26 · 2013: 23 · 2012: 25
FWCI
4.56
Type
journal article
Language
en
Open access
Locations
  • The Annals of Mathematical Statistics (publishedVersion)
  • Project Euclid (Cornell University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Matrix Theory and Algorithms
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematical Inequalities and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords
doubly stochastic matrices, matrix theory, positive matrices, stochastic matrices

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