eprintid: 50346 rev_number: 8 eprint_status: archive userid: 1482 importid: 105 dir: disk0/00/05/03/46 datestamp: 2025-02-07 11:53:28 lastmod: 2025-02-07 16:03:26 status_changed: 2025-02-07 11:53:28 type: article metadata_visibility: show creators_name: Lasserre, Jean-Bernard creators_idrefppn: 056782799 creators_halaffid: 1002422;441569 title: Gaussian mixtures closest to a given measure via optimal transport ispublished: pub subjects: subjects_ECO date: 2024 date_type: published publisher: Académie des Sciences id_number: 10.5802/crmath.657 official_url: http://tse-fr.eu/pub/130271 faculty: tse divisions: tse keywords: Gaussian mixtures keywords: Wasserstein distance keywords: semidefinite relaxations keywords: Moment-SOS hierarchy language: en has_fulltext: FALSE doi: 10.5802/crmath.657 view_date_year: 2024 full_text_status: none publication: Comptes rendus. Mathematique volume: vol.362 pagerange: 1455-1473 refereed: TRUE issn: 1631-073X oai_identifier: oai:tse-fr.eu:130271 harvester_local_overwrite: pending harvester_local_overwrite: volume harvester_local_overwrite: issn harvester_local_overwrite: creators_halaffid harvester_local_overwrite: publication harvester_local_overwrite: publisher harvester_local_overwrite: creators_idrefppn oai_lastmod: 2025-02-03T07:33:46Z oai_set: tse site: ut1 citation: Lasserre, Jean-Bernard (2024) Gaussian mixtures closest to a given measure via optimal transport. Comptes rendus. Mathematique, vol.362. pp. 1455-1473.