{"id":1215,"date":"2024-06-11T13:57:50","date_gmt":"2024-06-11T11:57:50","guid":{"rendered":"https:\/\/www.unioviedo.es\/fgs2024\/?page_id=1215"},"modified":"2024-06-11T14:19:36","modified_gmt":"2024-06-11T12:19:36","slug":"ms04-recent-trends-in-nonsmooth-optimization","status":"publish","type":"page","link":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/ms04-recent-trends-in-nonsmooth-optimization\/","title":{"rendered":"MS04: Recent trends in nonsmooth optimization"},"content":{"rendered":"\nA wide range of real-world applications like instance, the robust operation of energy\nnetworks or the training of large neural networks, lead to optimization problems with non-smooth in\nthe target functions and or the constraints. Such non-smoothness significantly challenges the analysis\nof problems. Even nowadays, there hardly exist off-the-shelf solution algorithms is mainly due to the\nlack of computationally tractable optimality and stationarity conditions, respectively.\nIn this minisymposium, four speakers from four institutions present their approach to tackle the\nnon-smoothness in their context. This ranges from the optimal control of crystal growth to the solution\nof linear complementarity problems.<br>\n\n<strong>Mini symposium organizers:<\/strong><br>\nLuise Blank (Universit\u00e4t Regensburg)<br>\nAndrea Walther (Humboldt-Universit\u00e4t zu Berlin)<br>\n<\/p>\n<p>\n<strong>Session 4. Room A6, Thursday 11:30-13:30.<\/strong><br>\n <strong>Chair:<\/strong> Andrea Walther (Humboldt-Universit\u00e4t zu Berlin)<\/strong><br>\n<strong>Speakers:<\/strong><br>\nLuise Blank (Universit\u00e4t Regensburg) <em>Optimal control of anisotropic Allen-Cahn equations<\/em><br>\nAnna Lentz (Universit\u00e4t W\u00fcrzburg) <em>Spatially sparse optimization problems in fractional order Sobolev spaces<\/em><br>\nBennet Gebken (Universit\u00e4t Paderborn) <em>First- and second-order models for nonsmooth functions based on derivative sampling<\/em><br>\nAdrian Schmidt (Humboldt-Universit\u00e4t zu Berlin) <em>On solving complementarity-constrained problems<\/em><br>\n<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A wide range of real-world applications like instance, the robust operation of energy networks or the training of large neural&hellip; <\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1215","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages\/1215","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/comments?post=1215"}],"version-history":[{"count":2,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages\/1215\/revisions"}],"predecessor-version":[{"id":1248,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages\/1215\/revisions\/1248"}],"wp:attachment":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/media?parent=1215"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}