Table of Contents Author Guidelines Submit a Manuscript
Scientific Programming
Volume 20 (2012), Issue 3, Pages 293-310
http://dx.doi.org/10.3233/SPR-2012-0341

Sundance: High-Level Software for PDE-Constrained Optimization

Kevin Long,1 Paul T. Boggs,2 and Bart G. van Bloemen Waanders3

1Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA
2Sandia National Laboratories, Livermore, CA, USA
3Sandia National Laboratories, Albuquerque, NM, USA

Copyright © 2012 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Sundance is a package in the Trilinos suite designed to provide high-level components for the development of high-performance PDE simulators with built-in capabilities for PDE-constrained optimization. We review the implications of PDE-constrained optimization on simulator design requirements, then survey the architecture of the Sundance problem specification components. These components allow immediate extension of a forward simulator for use in an optimization context. We show examples of the use of these components to develop full-space and reduced-space codes for linear and nonlinear PDE-constrained inverse problems.