{"id":4638,"date":"2022-05-04T10:04:57","date_gmt":"2022-05-04T08:04:57","guid":{"rendered":"https:\/\/www.dm.unipi.it\/eventi\/on-optimal-matching-problem-for-gaussian-samples-with-dimension-d-%e2%89%a5-3-jie-xiang-zhu-fudan-university-universite-de-toulouse\/"},"modified":"2022-05-04T10:04:57","modified_gmt":"2022-05-04T08:04:57","slug":"on-optimal-matching-problem-for-gaussian-samples-with-dimension-d-%e2%89%a5-3-jie-xiang-zhu-fudan-university-universite-de-toulouse","status":"publish","type":"unipievents","link":"https:\/\/www.dm.unipi.it\/en\/eventi\/on-optimal-matching-problem-for-gaussian-samples-with-dimension-d-%e2%89%a5-3-jie-xiang-zhu-fudan-university-universite-de-toulouse\/","title":{"rendered":"On optimal matching problem for Gaussian samples with dimension d \u2265 3 &#8211; Jie-Xiang Zhu (Fudan University \/ Universit\u00e9 de Toulouse)"},"content":{"rendered":"<h4 class='mt-4'>Abstract<\/h4>\n<p>Optimal matching problems are very classical in computer science, physics and mathematics. In this talk, we will discuss the related rates of convergence of empirical measures associated with n independent random points, whose common distribution is the normal Gaussian distribution in Euclidean space with dimension d \u2265 3. Our method is based on the PDE and mass transportation approach developed by L. Ambrosio, F. Stra and D. Trevisan.  <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Optimal matching problems are very classical in computer science, physics and mathematics. In this talk, we will discuss the related rates of convergence of empirical measures associated with n independent random points, whose common distribution is&hellip;<\/p>\n<p><a class=\"btn btn-dark btn-sm unipi-read-more-link\" href=\"https:\/\/www.dm.unipi.it\/en\/eventi\/on-optimal-matching-problem-for-gaussian-samples-with-dimension-d-%e2%89%a5-3-jie-xiang-zhu-fudan-university-universite-de-toulouse\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":6,"featured_media":0,"template":"","tags":[],"unipievents_taxonomy":[],"class_list":["post-4638","unipievents","type-unipievents","status-publish","hentry"],"acf":[],"unipievents_startdate":1608040800,"unipievents_enddate":1608044400,"unipievents_place":"","unipievents_externalid":0,"jetpack_sharing_enabled":true,"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/unipievents\/4638","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/unipievents"}],"about":[{"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/types\/unipievents"}],"author":[{"embeddable":true,"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":0,"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/unipievents\/4638\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/media?parent=4638"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/tags?post=4638"},{"taxonomy":"unipievents_taxonomy","embeddable":true,"href":"https:\/\/www.dm.unipi.it\/en\/wp-json\/wp\/v2\/unipievents_taxonomy?post=4638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}