{"id":14373,"date":"2019-07-16T16:08:44","date_gmt":"2019-07-16T16:08:44","guid":{"rendered":"http:\/\/cio.edu.umh.es\/?page_id=14373"},"modified":"2019-07-16T16:08:44","modified_gmt":"2019-07-16T16:08:44","slug":"ova9","status":"publish","type":"page","link":"https:\/\/cio.umh.es\/en\/ova9\/","title":{"rendered":"OVA9: 9TH INTERNATIONAL SEMINAR ON OPTIMIZATION AND VARIATIONAL ANALYSIS"},"content":{"rendered":"<p>[:es]<span style=\"color: #000000\">El CIO, uno de los catorce institutos universitario de investigaci\u00f3n en matem\u00e1ticas de Espa\u00f1a, acoger\u00e1 el pr\u00f3ximo 2 de septiembre el <strong>IX Seminario Internacional en Optimizaci\u00f3n y An\u00e1lisis Variacional<\/strong>. El evento se desarrollar\u00e1 a lo largo de la ma\u00f1ana en las aulas 0.1 y 0.2 del Edificio Torretamarit de la UMH y est\u00e1 dirigido tanto a investigadores como a estudiantes interesados en la tem\u00e1tica.<\/span><br \/>\n<a href=\"https:\/\/cio.umh.es\/en\/files\/2019\/07\/OVA9_-9th-International-Seminar-on-Optimization-and-Variational-Analysis-September-2-2019-Torretamarit-Bldg.-Center-of-Operations-Research-Miguel-Hern\u00e1ndez-University-of-Elche-Program-1-1.jpg\/\"><img loading=\"lazy\" class=\"aligncenter  wp-image-14380\" src=\"https:\/\/cio.umh.es\/files\/2019\/07\/OVA9_-9th-International-Seminar-on-Optimization-and-Variational-Analysis-September-2-2019-Torretamarit-Bldg.-Center-of-Operations-Research-Miguel-Hern\u00e1ndez-University-of-Elche-Program-1-1.jpg\" alt=\"OVA9_ 9th International Seminar on Optimization and Variational Analysis September 2, 2019, Torretamarit Bldg. Center of Operations Research, Miguel Hern\u00e1ndez University of Elche Program (1)\" width=\"789\" height=\"1116\" \/><\/a><br \/>\n<span style=\"color: #000000\">El\u00a0encuentro dar\u00e1 comienzo a las 10:00 horas con la ponencia <strong>&#8216;On Lipschitz in the small functions&#8217;<\/strong>,\u00a0del investigador <a href=\"https:\/\/www.researchgate.net\/scientific-contributions\/2029502228_Gerald_Beer\"><strong>Gerarld Beer<\/strong><\/a>, de la <a href=\"http:\/\/www.calstatela.edu\/\"><strong>Universidad Estatal de California<\/strong><\/a>. En esta charla se presentar\u00e1 a la\u00a0familia de Lipschitz en las funciones peque\u00f1as definidas en un espacio m\u00e9trico $ X $. Al mismo tiempo, se discutir\u00e1n sus propiedades b\u00e1sicas y se mostrar\u00e1 un resultado de cierre uniforme muy reciente de Beer y Garrido para funciones continuas de valor real que son Lipschitz en lo peque\u00f1o cuando se restringe a cada miembro de una familia de subconjuntos $ \\ mathscr {B} $ de $ X $ que est\u00e1n \u00abprotegidos de conjuntos cerrados\u00bb.<\/span><br \/>\n<span style=\"color: #000000\">La segunda ponencia,\u00a0que lleva por\u00a0t\u00edtulo <strong>&#8216;Optimal Neumann boundary control of the vibrating string under random initial conditions&#8217;<\/strong>, arrancar\u00e1 a las 10:35 horas de la mano del investigador <a href=\"http:\/\/www.wias-berlin.de\/people\/henrion\/\"><strong>Ren\u00e9 Henrion<\/strong><\/a>,\u00a0miembro del\u00a0<strong><a href=\"https:\/\/www.wias-berlin.de\/\">Weierstrass Institute for Applied Analysis and Stochastics de Berl\u00edn<\/a><\/strong>.\u00a0A menudo, en la optimizaci\u00f3n restringida por ecuaciones en derivadas parciales, las condiciones iniciales no se conocen exactamente, sino que pueden entenderse como aleatorias. La aplicaci\u00f3n de alg\u00fan control al sistema tambi\u00e9n conduce a estados terminales aleatorios. Por lo tanto, es de mucho inter\u00e9s encontrar un control \u00f3ptimo tal que el estado del terminal caiga en una regi\u00f3n espec\u00edfica al menos con una probabilidad espec\u00edfica. Este problema de optimizaci\u00f3n es un ejemplo de programaci\u00f3n probabil\u00edstica, donde las desigualdades aleatorias se formulan como restricciones de azar. En esta charla se analizar\u00e1 e ilustrar\u00e1 lo anteriormente mencionado para el ejemplo del control de l\u00edmites de Neumann de la cuerda vibrante.<\/span><br \/>\n<span style=\"color: #000000\">El investigador\u00a0<a href=\"https:\/\/www.researchgate.net\/profile\/Jan_J_Rueckmann\"><strong>Jan-J. R\u00fcckmann<\/strong><\/a>, de la <a href=\"https:\/\/www.uib.no\/en\"><strong>Universidad de Bergen<\/strong><\/a>, tomar\u00e1 el relevo a las 11:10 con la ponencia <strong>&#8216;On strong stability of C-stationary points for MPCC&#8217;<\/strong>.\u00a0En esta\u00a0charla se abordar\u00e1n problemas matem\u00e1ticos con restricciones de complementariedad (MPCC). Bajo una\u00a0cualificaci\u00f3n de restricciones apropiada, se presentar\u00e1\u00a0una caracterizaci\u00f3n algebraica para la estabilidad fuerte de los puntos C estacionarios para los MPCC. El concepto de estabilidad fuerte fue introducido por Kojima en 1980 para puntos estacionarios de programas de optimizaci\u00f3n no lineal est\u00e1ndar; se refiere a la singularidad y la existencia de puntos estacionarios donde se permiten perturbaciones de segundo orden. Esta conferencia generaliza este concepto y su caracterizaci\u00f3n algebraica al contexto de MPCC.<\/span><br \/>\n<span style=\"color: #000000\">Tras una breve pausa para el <em>coffee break<\/em>, el evento se reanudar\u00e1 a las 12:15 horas con la ponencia <strong>&#8216;Strong Metric Subregularity of KKT Systems and its Applications to the SQP. Methods in Constraint Optimization&#8217;<\/strong>, del investigador <a href=\"http:\/\/www.borismordukhovich.com\/\"><strong>Boris Mordukhovich<\/strong><\/a>, de\u00a0la\u00a0<a href=\"https:\/\/wayne.edu\/\"><strong>Universidad Estatal Wayne<\/strong><\/a>.\u00a0Esta charla se centra principalmente en el m\u00e9todo SQP para la programaci\u00f3n c\u00f3nica. El profesor Mordukhovich establecer\u00e1\u00a0la convergencia superlineal primal-dual del m\u00e9todo SQP b\u00e1sico cuando se cumple la condici\u00f3n suficiente de segundo orden,\u00a0la multifunci\u00f3n de multiplicadores es tranquila y el conjunto de los multiplicadores de Lagrange se reduce a un punto. Posteriormente, analizar\u00e1 la convergencia superlineal de los m\u00e9todos SQP cuasi-Newton a trav\u00e9s de La condici\u00f3n Dennis-More para problemas de optimizaci\u00f3n restringidos. Esta investigaci\u00f3n est\u00e1 basada en un trabajo conjunto con <strong><a href=\"http:\/\/www.users.miamioh.edu\/sarabim\/\">Ebrahim Sarabi<\/a><\/strong>, de\u00a0la <a href=\"http:\/\/miamioh.edu\/\"><strong>Universidad\u00a0Miami<\/strong><\/a>.<\/span><br \/>\n<span style=\"color: #000000\">El encargado de concluir el evento ser\u00e1 el investigador <a href=\"https:\/\/dmat.ua.es\/es\/personal\/marco-antonio-lopez-cerda.html\"><strong>Marco Antonio L\u00f3pez<\/strong><\/a>,\u00a0profesor em\u00e9rito de la <a href=\"https:\/\/www.ua.es\/es\/\"><strong>Universidad de Alicante<\/strong><\/a>.\u00a0En esta charla\u00a0se presentar\u00e1\u00a0una caracterizaci\u00f3n de la\u00a0H\u00f6lder <em>calmness<\/em> del\u00a0multifunci\u00f3n conjunto \u00f3ptimo en optimizaci\u00f3n semifinita convexa. Se deriva de la equivalencia de esta propiedad con la\u00a0H\u00f6lder <em>calmness<\/em> de ciertos mapas de conjuntos de nivel inferior. Tambi\u00e9n se proporcionan algunas estimaciones del m\u00f3dulo de la H\u00f6lder <em>calmness<\/em>. La charla se basa en el reciente art\u00edculo <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11228-019-0504-0\"><strong>&#8216;H\u00f6lder Error Bounds and H\u00f6lder Calmness with Applications to Convex Semi-infinite Optimization&#8217;<\/strong><\/a>, publicado por A. Kruger, M. A.\u00a0L\u00f3pez, X. Yang y J. Zhu.<\/span>[:en]<span style=\"color: #000000\">The CIO, one of the fourteen university research institutes in mathematics in Spain, will host on September 2 the <strong>9th International Seminar on Optimization and Variational Analysis<\/strong>. The event will take place throughout the morning in classrooms 0.1 and 0.2 of Torretamarit Building of the UMH and it&#8217;s aimed at researchers and students interested in the subject.<\/span><br \/>\n<a href=\"https:\/\/cio.umh.es\/en\/files\/2019\/07\/OVA9_-9th-International-Seminar-on-Optimization-and-Variational-Analysis-September-2-2019-Torretamarit-Bldg.-Center-of-Operations-Research-Miguel-Hern\u00e1ndez-University-of-Elche-Program-1-1.jpg\/\"><img loading=\"lazy\" class=\"aligncenter  wp-image-14380\" src=\"https:\/\/cio.umh.es\/files\/2019\/07\/OVA9_-9th-International-Seminar-on-Optimization-and-Variational-Analysis-September-2-2019-Torretamarit-Bldg.-Center-of-Operations-Research-Miguel-Hern\u00e1ndez-University-of-Elche-Program-1-1.jpg\" alt=\"OVA9_ 9th International Seminar on Optimization and Variational Analysis September 2, 2019, Torretamarit Bldg. Center of Operations Research, Miguel Hern\u00e1ndez University of Elche Program (1)\" width=\"789\" height=\"1116\" \/><\/a><\/p>\n<ul>\n<li><strong>10:00 &#8211; 10:35 On Lipschitz in the small functions. <span style=\"color: #000000\"><a href=\"https:\/\/www.researchgate.net\/scientific-contributions\/2029502228_Gerald_Beer\">Gerarld Beer<\/a>, <a href=\"http:\/\/www.calstatela.edu\/\">California State University, Los Angeles<\/a>.<\/span><\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 60px\"><strong>Abstract.<\/strong> <span style=\"color: #000000\">In this talk we introduce the family of Lipschitz in the small functions defined on a metric space $X$, discuss their basic properties, and present a very\u00a0recent uniform closure result of Beer and Garrido for continuous real-valued functions that are Lipschitz in the small when restricted to each member of\u00a0a family of a subsets $\\mathscr {B}$\u00a0of $X$ that are \u00abshielded from closed sets\u00bb. From this single result, we can easily\u00a0show: (1) the Lipschitz in the small functions are uniformly dense in the uniformly continuous functions; (2)\u00a0the locally Lipschitz functions are uniformly dense in the continuous functions;\u00a0(3) the bounded Lipschitz functions are uniformly dense in the bounded uniformly\u00a0 continuous functions; (4) the functions that are Lipschitz on bounded sets are uniformly dense in the uniformly continuous functions that are bounded on bounded sets.<\/span><\/p>\n<ul>\n<li><strong>\u00a010:35 &#8211; 11:10 Optimal Neumann boundary control of the vibrating string under random initial conditions. <span style=\"color: #000000\"><a href=\"http:\/\/www.wias-berlin.de\/people\/henrion\/\">Ren\u00e9 Henrion<\/a>,\u00a0<a href=\"https:\/\/www.wias-berlin.de\/\">Weierstrass Institute for Applied Analysis and Stochastics, Berl\u00edn<\/a>.<\/span>\u00a0<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 60px\"><strong>Abstract.\u00a0<\/strong><span style=\"color: #000000\">Often, in PDE constrained optimization the initial conditions are not known exactly but can rather be understood as being random. The application of some control to the system then also leads to random terminal states. Therefore, it is of much interest to find an optimal control such that the terminal state falls into some specified region at least with some specified probability. This optimization problem is an instance of probabilistic programming, where random inequalities are formulated as chance constraints. It will be analyzed and illustrated for the example of Neumann boundary control of the vibrating string.<\/span><\/p>\n<ul>\n<li class=\"yj6qo\"><strong>\u00a011:10 &#8211; 11:45 On strong stability of C-stationary points for MPCC. <span style=\"color: #000000\"><a href=\"https:\/\/www.researchgate.net\/profile\/Jan_J_Rueckmann\">Jan-J. R\u00fcckman<\/a>, <a href=\"https:\/\/www.uib.no\/en\">University of Bergen<\/a>.<\/span><\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 60px\"><strong>Abstract.\u00a0<\/strong><span style=\"color: #000000\">In this lecture we consider mathematical problems with complementarity constraints (MPCC). Under an appropriate constraint qualification we present an algebraic characterization for the strong stability of C-stationary points for MPCCs. The concept of strong stability was introduced by Kojima in 1980 for stationary points of standard nonlinear optimization programs; it refers to uniqueness and existence of stationary points where perturbations up to second order are allowed. This lecture generalizes this concept and its algebraic characterization to the context of MPCC.<\/span><\/p>\n<ul>\n<li class=\"yj6qo\"><strong>\u00a011:45 &#8211; 12:15\u00a0Coffee break<\/strong><\/li>\n<\/ul>\n<ul>\n<li class=\"yj6qo\"><strong>12:15 &#8211; 12:50<\/strong>\u00a0<strong>Strong Metric Subregularity of KKT Systems and its Applications to the SQP. Methods in Constraint Optimization.<span style=\"color: #000000\"> <a href=\"http:\/\/www.borismordukhovich.com\/\">Boris Mordukhovic<\/a>, <a href=\"https:\/\/wayne.edu\/\">Wayne State University, Detroit<\/a>.<\/span><\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 60px\"><strong>Abstract.\u00a0<\/strong><span style=\"color: #000000\">This talk mainly focuses on the SQP method for conic programming. We establish the primal-dual superlinear convergence of the basic SQP method when the second-order sufficient condition holds, the multiplier mapping is calm, and the set of Lagrange multipliers is a singleton.Then we discuss superlinear convergence of quasi-Newton SQP methods via the Dennis-More condition for constrained optimization problems. Based on joint work with Ebrahim Sarabi (Miami University, OH, USA).<\/span><\/p>\n<ul>\n<li class=\"yj6qo\"><strong>\u00a012:50 &#8211; 13:25\u00a0H\u00f6lder Error Bounds and H\u00f6lder Calmness with Applications to Convex Semi-infinite Optimization. <span style=\"color: #000000\"><a href=\"https:\/\/dmat.ua.es\/es\/personal\/marco-antonio-lopez-cerda.html\">Marco A. L\u00f3pez<\/a>, <a href=\"https:\/\/www.ua.es\/es\/\">University of Alicante<\/a>.<\/span><\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 60px\"><strong>Abstract.\u00a0<\/strong><span style=\"color: #000000\">In this talk we present a characterization of the H\u00f6lder calmness of the optimal set mapping in convex semi-infinite optimization. It is derived from the equivalence of this property with the H\u00f6lder calmness of certain lower-level set mapping. Some estimates of the modulus of H\u00f6lder calmness are also provided. The talk is based on the recent paper: A. Kruger, M.A. L\u00f3pez, X. Yang and J. Zhu, H\u00f6lder Error Bounds and H\u00f6lder Calmness with Applications to Convex Semi-in\ufb01nite Optimization, <em>Set-Valued and Variational Analysis<\/em>.<\/span><\/p>\n<p>[:]<\/p>","protected":false},"excerpt":{"rendered":"<p>[:es]El CIO, uno de los catorce institutos universitario de investigaci\u00f3n en matem\u00e1ticas de Espa\u00f1a, acoger\u00e1 el pr\u00f3ximo 2 de septiembre el IX Seminario Internacional en Optimizaci\u00f3n y An\u00e1lisis Variacional. El evento se desarrollar\u00e1 a lo largo de la ma\u00f1ana en las aulas 0.1 y 0.2 del Edificio Torretamarit de la UMH y est\u00e1 dirigido tanto [&#8230;]<\/p>","protected":false},"author":3477,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_links_to":"","_links_to_target":""},"categories":[],"tags":[],"_links":{"self":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/pages\/14373"}],"collection":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/types\/page"}],"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=14373"}],"version-history":[{"count":0,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/pages\/14373\/revisions"}],"wp:attachment":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/media?parent=14373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/categories?post=14373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/tags?post=14373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}