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MINISYMPOSIUM 1: Domain Decomposition Methods for Simulation-constrained Optimization

  • Volkan Akcelik
  • George Biros
  • Omar Ghattas
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 55)

Abstract

By simulation we refer to numerical solution of systems governed by partial differential (or integral) equations. Tremendous strides in large-scale algorithms and hardware have provided the framework for high fidelity simulations, to the point that it is now practical to consider complex optimization problems. In such problems we wish to determine various parameters that typically consist the data of a simulation: boundary and initial conditions, material properties, distributed forces, or shape.

Keywords

Material Property Computational Mathematic Special Technique Domain Decomposition High Fidelity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer 2007

Authors and Affiliations

  • Volkan Akcelik
    • 1
  • George Biros
    • 2
  • Omar Ghattas
    • 3
  1. 1.Carnegie Mellon UniversityMellon
  2. 2.University of Pennslyvania
  3. 3.University of Texas at AustinAustin

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