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SIAMJO
2011

Adaptive Multilevel Inexact SQP Methods for PDE-Constrained Optimization

7 years 11 months ago
Adaptive Multilevel Inexact SQP Methods for PDE-Constrained Optimization
We present a class of inexact adaptive multilevel trust-region SQP-methods for the efficient solution of optimization problems governed by nonlinear partial differential equations. The algorithm starts with a coarse discretization of the underlying optimization problem and provides during the optimization process 1) implementable criteria for an adaptive refinement strategy of the current discretization based on local error estimators and 2) implementable accuracy requirements for iterative solvers of the linearized PDE and adjoint PDE on the current grid. We prove global convergence to a stationary point of the infinite–dimensional problem. Moreover, we illustrate how the adaptive refinement strategy of the algorithm can be implemented by using existing reliable a posteriori error estimators for the state and the adjoint equation. Numerical results are presented. Key words. Optimal control, adaptive mesh adaptation, PDE constraints, finite elements, a posteriori error estimator...
J. Carsten Ziems, Stefan Ulbrich
Added 29 May 2011
Updated 29 May 2011
Type Journal
Year 2011
Where SIAMJO
Authors J. Carsten Ziems, Stefan Ulbrich
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