November 11-15, 2019
Organizers:
Matthias Heinkenschloss (Rice University),
Georg Stadler (Courant Institute, NYU)
Optimization under uncertainty and Bayesian inversion, both in the context of complex physical systems, arise in many science and engineering applications where one needs to make decisions, compute designs, or specify controls under uncertainty, or where one needs to infer parameters such as spatially distributed conductivities or permeabilities from measurements. The solution of these problems is mathematically and computationally challenging and requires the development and integration of tools from uncertainty quantification, optimization, control, and PDEs. This workshop brings together experts on different aspects of optimization and inversion under uncertainty with emphasis on problems governed by partial differential equations to present latest developments in this area.
Group photo: SpecSem2019_WS3.jpg
Alen Alexanderian (North Carolina State University)
Sebastian Angerhausen (Universität Duisburg-Essen)
Harbir Antil (George Mason University)
Quentin Ayoul-Guilmard (École Polytechnique Fédérale de Lausanne)
Behzad Azmi (Austrian Academy of Sciences)
Markus Bachmayr (Johannes Gutenberg-Universität Mainz)
Rahel Brügger (Universität Basel)
Peng Chen (The University of Texas at Austin), Slides (PDF, 6MB)
Masoumeh Dashti (University of Sussex), Slides (PDF, 217KB)
Matt Dunlop (Courant Institute of Mathematical Sciences), Slides (PDF, 575KB)
Martin Eigel (WIAS)
Bernhard Endtmayer (RICAM)
Oliver Ernst (TU Chemnitz)
Peter Gangl (TU Graz)
Caroline Geiersbach (University of Vienna)
Omar Ghattas (The University of Texas at Austin), Slides (PDF, 6.5MB)
Philipp Guth (University of Mannheim)
Helmut Harbrecht (University of Basel), Slides (PDF, 9.6MB)
Matthias Heinkenschloss (Rice University)
Rene Henrion (Weierstrass Institute Berlin), Slides (PDF, 893KB)
Peter Kritzer (RICAM, Austrian Academy of Sciences)
Jonas Latz (Technische Universität München)
Roberto Machado Velho (IMPA)
Juan Pablo Madrigal Cianci (EPFL)
Mae Markowski (Rice University)
Hannes Meinlschmidt (RICAM)
Johannes Milz (Technical University of Munich)
Fabio Nobile (EPFL), Slides (PDF, 1.4MB)
Ludger Paehler (Technical University of Munich)
Anamika Pandey (RWTH Aachen)
Cosmin Petra (Lawrence Livermore National Laboratory)
Georg Pflug (University of Vienna), Slides (PDF, 341KB)
Alois Pichler (TU Chemnitz), Slides (PDF, 1011KB)
Sergio Rodrigues (RICAM)
Johannes Royset (Naval Postgraduate School), Slides (PDF, 3.4MB)
Ekkehard Sachs (Universität Trier)
Robert Scheichl (Universität Heidelberg), Slides (PDF, 1.9MB)
Ruediger Schultz (University of Duisburg-Essen), Slides (PDF, 5.9MB)
Volker Schulz (Trier University), Slides (PDF, 4.8MB)
Christoph Schwab (ETH Zurich)
Björn Sprungk (Georg-August-Universität Göttingen), Slides (PDF, 2MB)
Georg Stadler (New York University)
Thomas Michael Surowiec (Philipps-Universität Marburg)
Stefan Takacs (RICAM)
Philip Trautmann (Uni Graz)
Michael Ulbrich (Technical University of Munich)
Stefan Ulbrich (TU Darmstadt), Slides (PDF, 2.1MB)
Elisabeth Ullmann (Technical University of Munich), Slides (PDF, 642KB)
Wayne Isaac Uy (Courant Institute of Mathematical Sciences)
Stefan Vandewalle (KU Leuven - University of Leuven)
Daniel Walter (RICAM)
Huidong Yang (RICAM)
This page was last modified on 11/13/2019 - 14:13 CEST