Software Year : 2023

dsgs: a Distributed block-Split-Gibbs Sampler (DSGS) with hypergraph structure for high-dimensional inverse problems

Abstract

This library provides the Python implementation of a distributed split-Gibbs sampler (DSGS) with specific applications to imaging inverse problems.

Domains

Signal and Image Processing Computation [stat.CO]

Pierre-Antoine Thouvenin  : Connect in order to contact the contributor

https://hal.science/hal-04460733

Submitted on : Thursday, February 15, 2024-8:27:02 PM

Last modification on : Friday, May 31, 2024-6:32:03 PM

Consulter sur Present sur SoftwareHeritage

Dates and versions

hal-04460733 , version 1 (15-02-2024)

Identifiers

Metadata

  • version : 1.0
  • Software License : GNU Affero General Public License v3.0
  • Programming Language : Python
  • Code Repository : https://gitlab.cristal.univ-lille.fr/pthouven/dsgs.git
  • Platform/OS : Mac/Linux ; WINDOWS

Cite

Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais. dsgs: a Distributed block-Split-Gibbs Sampler (DSGS) with hypergraph structure for high-dimensional inverse problems. 2023, ⟨swh:1:dir:0911fdbd8e7afd7e58cc02318148455f76e3233d;origin=https://hal.archives-ouvertes.fr/hal-04460733;visit=swh:1:snp:2e030045d796d6ca8ddbc01b2bacb9288d2710fe;anchor=swh:1:rel:942d5e3972252d4fb5127f24838afbeda05099c3;path=/⟩. ⟨hal-04460733⟩

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