[:es]Título: Bilevel optimization and pricing problems
Ponente: Martine Labbé (Université Libre de Bruxelles)
Organizador: Mercedes Landete
Fecha: Jueves 12 de diciembre a las 11:00 horas.
Lugar: Aulas 0.1 y 0.2 del Edificio Torretamarit, Universidad Miguel Hernández (Campus de Elche)
Resumen: A bilevel optimization problem consists in an optimization problem in which some of the constraints specify that a subset of variables must be an optimal solution to another optimization problem. This paradigm is particularly appropriate to model competition between agents, a leader and a follower, acting sequentially.
In this talk I will first focus the simplest bilevel problems, those that are linear. In particular I will discuss some recent results showing that these problems are already extremely challenging.
In a second part, I will talk about a family of bilevel problems called network pricing problems, in which tolls must be determined on a specified subset of arcs of a multicommodity transportation network. The leader or first level corresponds to the profit maximizing owner of the subset of arcs and the follower to users traveling at minimum cost between nodes of the network.[:]
Novedades
Seminario CIO-Prometeo: Predicting chaotic dynamics with reservoir computing
Título: Predicting chaotic dynamics with reservoir computing Ponente: Ulrich Parlitz (Max Planck Institute for Dynamics and Self-Organization) Fecha y hora: 04/12/2024, 12:00 Inscripción online (cierre 30 minutos antes del inicio): https://forms.gle/dvaxftX815mttHvN9 Lugar: Sala de Seminarios del Edificio Torretamarit (CIO) y online Organizador: José María Amigó García Abstract: Reservoir computing utilizes the response of driven dynamical systems for predicting and analyzing time [...]