{"id":10848,"date":"2018-09-10T08:38:30","date_gmt":"2018-09-10T08:38:30","guid":{"rendered":"http:\/\/cio.edu.umh.es\/?p=10848"},"modified":"2018-09-10T08:38:30","modified_gmt":"2018-09-10T08:38:30","slug":"seminario-de-rene-henrion","status":"publish","type":"post","link":"https:\/\/cio.umh.es\/en\/2018\/09\/10\/seminario-de-rene-henrion\/","title":{"rendered":"Seminario de Ren\u00e9 Henrion"},"content":{"rendered":"<p>[:es]<span style=\"color: #000000\"><strong>Speaker:<\/strong><\/span><span style=\"color: #ff6600\">\u00a0Ren\u00e9 Henrion (<a class=\"nova-e-link nova-e-link--color-inherit nova-e-link--theme-silent org\" style=\"color: #ff6600\" href=\"https:\/\/www.researchgate.net\/institution\/Weierstrass_Institute_for_Applied_Analysis_and_Stochastics\">Weierstrass Institute for Applied Analysis and Stochastics<\/a>).<\/span><br \/>\n<strong><span style=\"color: #000000\">Title:<\/span>\u00a0<\/strong>\u201cProbabilistic Programming with Applications\u00bb.<br \/>\n<strong><span style=\"color: #000000\">Date:<\/span>\u00a0<\/strong>jueves\u00a013 de septiembre, 12:30 horas.<br \/>\n<strong><span style=\"color: #000000\">Localication:<\/span>\u00a0<\/strong>Aula 0.2<strong>\u00a0<\/strong>del CIO (Edificio Torretamarit).<br \/>\n<strong><span style=\"color: #000000\">Abstract.<\/span>\u00a0<\/strong>Optimization problems with probabilistic constraints (or chance constraints) represent a major model of stochastic programming with numerous applications in engineering. Basically, in the presence of random parameters, a decision is declared to be feasible if it satisfies a given system of random inequalities with a prescribed high probability (e.g., 90%). The mathematical challenge of such problems is the absence of explicit formulae for the probability as a function of the decision. This makes the structural analysis (e.g., (semi-) continuity, differentiability, convexity etc.) and the algorithmic solution much more difficult than in a conventional setting. The talk provides some ideas in this direction along with applications to energy management.[:]<\/p>","protected":false},"excerpt":{"rendered":"<p>[:es]Speaker:\u00a0Ren\u00e9 Henrion (Weierstrass Institute for Applied Analysis and Stochastics).<br \/>\nTitle:\u00a0\u201cProbabilistic Programming with Applications\u00bb.<br \/>\nDate:\u00a0jueves\u00a013 de septiembre, 12:30 horas.<br \/>\nLocalication:\u00a0Aula 0.2\u00a0del CIO (Edificio Torretamarit).<br \/>\nAbstract.\u00a0Optimization problems with probabilistic constraints (or chance constraints) represent a major model of stochastic programming with numerous applications in engineering. Basically, in the presence of random parameters, a decision is declared to be feasible if it [&#8230;]<\/p>","protected":false},"author":3477,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_links_to":"","_links_to_target":""},"categories":[4],"tags":[],"_links":{"self":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/10848"}],"collection":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/users\/3477"}],"replies":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/comments?post=10848"}],"version-history":[{"count":0,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/10848\/revisions"}],"wp:attachment":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/media?parent=10848"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/categories?post=10848"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/tags?post=10848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}