SS 2: Large scale PDE-constrained optimization

Organizers

Abstract

Optimization problems subject to constraints given by partial differential equations (PDEs) with additional constraints on the control and/or state variables belong to the most challenging problem classes in natural sciences, engineering, and economics. Due to the complexities of the PDEs and the requirement for rapid solution pose significant challenges for the computational scientists. A particularly challenging class of PDE-constrained optimization problems in several applications is characterized by the need for real-time solution, i.e., in time scales that are sufficiently rapid to support simulation-based decision making. The main focus of this minisymposium is devoted to solve efficiently such large scale application problems, specifically on state/parameter estimation techniques, model reduction and parallelization techniques.

List of speakers

  • Stephan Schmidt (Wuerzburg, Germany):
    A Shape Optimization Framework for General Tomography Problems
  • Tobias Köppl (Munich, Germany):
    Multiscale modeling of network flow in porous media
  • Ilka Riedel (Chemnitz, Germany):
    Sensor Placement in Thermo-Elastic Models
  • Nagaiah Chamakuri (Linz, Austria):
    Large scale optimization of electrical defibrillation

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