An adaptive pole-matching framework, with branch-and-bound optimization, predictor-corrector steps, adaptive refinement, and optional regression, builds parametric reduced-order models by interpolating local ROM poles.
Accelerating PDE constrained optimization by the reduced basis method: application to batch chro- matography,
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An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models
An adaptive pole-matching framework, with branch-and-bound optimization, predictor-corrector steps, adaptive refinement, and optional regression, builds parametric reduced-order models by interpolating local ROM poles.