This book fills a gap between theory-oriented investigations in
PDE-constrained optimization and the practical demands made by
numerical solutions of PDE optimization problems. The authors
discuss computational techniques representing recent developments
that result from a combination of modern techniques for the
numerical solution of PDEs and for sophisticated optimization
schemes. Computational Optimization of Systems offers readers a
combined treatment of PDE-constrained optimization and
uncertainties and an extensive discussion of multigrid
optimization. It provides a bridge between continuous optimization
and PDE modelling and focuses on the numerical solution of the
corresponding problems. Intended for graduate students in
PDE-constrained optimization, it is also suitable as an
introduction for researchers in scientific computing or
optimization. It will also help researchers in the natural sciences
and engineering to formulate and solve optimization problems.
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