Accelerating Optimization of Parametric Linear Systems by Model Order Reduction


Design optimization problems are often formulated as an optimization problem whose objective is a function of the output of a large-scale parametric linear system, obtained from the discretization of a PDE. To reduce the high computational cost of the objective and its gradient, model order reduction techniques can be used. This paper uses interpolatory… (More)
DOI: 10.1137/120869171


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