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On the linear convergence of the multi-marginal Sinkhorn algorithm
- Source :
- SIAM Journal on Optimization, SIAM Journal on Optimization, 2022, 32 (2), pp.786-794
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience; The aim of this short note is to give an elementary proof of linear convergence of the Sinkhorn algorithm for the entropic regularization of multi-marginal optimal transport. The proof simply relies on: i) the fact that Sinkhorn iterates are bounded, ii) strong convexity of the exponential on bounded intervals and iii) the convergence analysis of the coordinate descent (Gauss-Seidel) method of Beck and Tetruashvili [1].
Details
- Language :
- English
- ISSN :
- 10526234
- Database :
- OpenAIRE
- Journal :
- SIAM Journal on Optimization, SIAM Journal on Optimization, 2022, 32 (2), pp.786-794
- Accession number :
- edsair.dedup.wf.001..866cc968a561f8b399cfad475b71c994