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math.OC2021
A simplified Newton method to generate snapshots for POD models of semilinear optimal control problems
Paul Manns, Stefan Ulbrich
In PDE-constrained optimization, proper orthogonal decomposition (POD) provides a surrogate model of a (potentially expensive) PDE discretization, on which optimization iterations…
math.OC2018
Semi-automatically optimized calibration of internal combustion engines
Timo Burggraf, Michael Joswig, Marc E. Pfetsch +2
Modern combustion engines incorporate a number of actuators and sensors that can be used to control and optimize the performance and emissions. We describe a semi-automatic method…
math.OC2018
Robust Shape Optimization of Electric Devices Based on Deterministic Optimization Methods and Finite Element Analysis With Affine Decomposition and Design Elements
Ion Gabriel Ion, Zeger Bontinck, Dimitrios Loukrezis +5
In this paper, gradient-based optimization methods are combined with finite-element modeling for improving electric devices. Geometric design parameters are considered by affine de…