{"id":1705,"date":"2026-06-09T18:40:46","date_gmt":"2026-06-09T18:40:46","guid":{"rendered":"https:\/\/synasc.ro\/2026\/?page_id=1705"},"modified":"2026-06-09T18:41:40","modified_gmt":"2026-06-09T18:41:40","slug":"vasile-berinde","status":"publish","type":"page","link":"https:\/\/synasc.ro\/2026\/invited-speakers\/vasile-berinde\/","title":{"rendered":"Vasile Berinde"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1705\" class=\"elementor elementor-1705\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3e0b8ee e-con-full e-flex e-con e-parent\" data-id=\"3e0b8ee\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a3ba736 elementor-widget elementor-widget-heading\" data-id=\"a3ba736\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The role of nonexpansive type mappings in designing fixed point algorithms for Data Science problems<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80ba9f5 elementor-widget elementor-widget-heading\" data-id=\"80ba9f5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vasile Berinde<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7088b6b elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"7088b6b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Research Institute for Symbolic Computation<br \/>Johannes Kepler Universuty Linz, Austria<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6af37d1 elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-image\" data-id=\"6af37d1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"240\" height=\"300\" src=\"https:\/\/synasc.ro\/2026\/wp-content\/uploads\/sites\/28\/2026\/04\/temur-kutsia-bw-240x300.jpg\" class=\"attachment-medium size-medium wp-image-1650\" alt=\"\" srcset=\"https:\/\/synasc.ro\/2026\/wp-content\/uploads\/sites\/28\/2026\/04\/temur-kutsia-bw-240x300.jpg 240w, https:\/\/synasc.ro\/2026\/wp-content\/uploads\/sites\/28\/2026\/04\/temur-kutsia-bw-768x960.jpg 768w, https:\/\/synasc.ro\/2026\/wp-content\/uploads\/sites\/28\/2026\/04\/temur-kutsia-bw.jpg 812w\" sizes=\"(max-width: 240px) 100vw, 240px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e257af elementor-align-center elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"6e257af\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"#\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-globe\" viewBox=\"0 0 496 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M336.5 160C322 70.7 287.8 8 248 8s-74 62.7-88.5 152h177zM152 256c0 22.2 1.2 43.5 3.3 64h185.3c2.1-20.5 3.3-41.8 3.3-64s-1.2-43.5-3.3-64H155.3c-2.1 20.5-3.3 41.8-3.3 64zm324.7-96c-28.6-67.9-86.5-120.4-158-141.6 24.4 33.8 41.2 84.7 50 141.6h108zM177.2 18.4C105.8 39.6 47.8 92.1 19.3 160h108c8.7-56.9 25.5-107.8 49.9-141.6zM487.4 192H372.7c2.1 21 3.3 42.5 3.3 64s-1.2 43-3.3 64h114.6c5.5-20.5 8.6-41.8 8.6-64s-3.1-43.5-8.5-64zM120 256c0-21.5 1.2-43 3.3-64H8.6C3.2 212.5 0 233.8 0 256s3.2 43.5 8.6 64h114.6c-2-21-3.2-42.5-3.2-64zm39.5 96c14.5 89.3 48.7 152 88.5 152s74-62.7 88.5-152h-177zm159.3 141.6c71.4-21.2 129.4-73.7 158-141.6h-108c-8.8 56.9-25.6 107.8-50 141.6zM19.3 352c28.6 67.9 86.5 120.4 158 141.6-24.4-33.8-41.2-84.7-50-141.6h-108z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Webpage<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89d48db elementor-widget elementor-widget-heading\" data-id=\"89d48db\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">ABSTRACT<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd1252a elementor-widget elementor-widget-text-editor\" data-id=\"dd1252a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Various Data Science problems, like regression, classification, or image reconstruction, could be equivalently formulated as optimization problems or variational inequality problems. In order to build iterative schemes for solving the later problems, it is convenient in many instances to transform them into appropriate fixed point problems $x = T(x)$, which naturally generate the Picard fixed point algorithm $x_{n+1}=T (x_n)$, $n\\geq 0$. The main aim of this paper is to discuss the role of nonexpansive type mappings $T$ in designing convergent fixed point algorithms with applications to Data Science problems.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c706e9 elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-heading\" data-id=\"8c706e9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">SHORT BIO<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0b87dae elementor-hidden-widescreen elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"0b87dae\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Temur Kutsia is a senior researcher and associate professor at the Research Institute for Symbolic Computation (RISC) Institute of the Johannes Kepler University Linz, Austria, where he leads a research group on symbolic constraint solving. He obtained his PhD and habilitation from Johannes Kepler University. His research interests lie in computational logic and symbolic artificial intelligence, with a particular focus on equational constraint solving, unification and generalization, as well as rewriting-based deduction and computation. He has authored over 100 publications in these areas, edited 20 conference proceedings and journal special issues, and served on more than 100 program committees of international conferences. He is a member of the IFIP Working Group 1.6 (Term Rewriting) and serves on the editorial board of the Journal of Symbolic Computation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The role of nonexpansive type mappings in designing fixed point algorithms for Data Science problems Vasile Berinde Research Institute for Symbolic ComputationJohannes Kepler Universuty Linz, Austria Webpage ABSTRACT Various Data Science problems, like regression, classification, or image reconstruction, could be equivalently formulated as optimization problems or variational inequality problems. In order to build iterative schemes [&hellip;]<\/p>\n","protected":false},"author":30,"featured_media":0,"parent":226,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1705","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/pages\/1705","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/users\/30"}],"replies":[{"embeddable":true,"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/comments?post=1705"}],"version-history":[{"count":4,"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/pages\/1705\/revisions"}],"predecessor-version":[{"id":1709,"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/pages\/1705\/revisions\/1709"}],"up":[{"embeddable":true,"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/pages\/226"}],"wp:attachment":[{"href":"https:\/\/synasc.ro\/2026\/wp-json\/wp\/v2\/media?parent=1705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}