3 citations · 4 across the 4 of their papers we have counts for
5 papers
Krylov Subspace Recycling for Evolving Structures
Matthias Bolten, Eric de Sturler, Camilla Hahn
Krylov subspace recycling is a powerful tool for solving long series of large, sparse linear systems that change slowly. In PDE constrained shape optimization, these appear natural…
GivEn -- Shape Optimization for Gas Turbines in Volatile Energy Networks
Jan Backhaus, Matthias Bolten, Onur Tanil Doganay +19
This paper describes the project GivEn that develops a novel multicriteria optimization process for gas turbine blades and vanes using modern "adjoint" shape optimization algorithm…
Gradient Based Biobjective Shape Optimization to Improve Reliability and Cost of Ceramic Components
Onur T. Doganay, Hanno Gottschalk, Camilla Hahn +3
We consider the simultaneous optimization of the reliability and the cost of a ceramic component in a biobjective PDE constrained shape optimization problem. A probabilistic Weibul…
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding
Ilke Demir, Camilla Hahn, Kathryn Leonard +7
We present SkelNetOn 2019 Challenge and Deep Learning for Geometric Shape Understanding workshop to utilize existing and develop novel deep learning architectures for shape underst…
Shape optimization to decrease failure probability
Matthias Bolten, Hanno Gottschalk, Camilla Hahn +1
Ceramic is a material frequently used in industry because of its favorable properties. Common approaches in shape optimization for ceramic structures aim to minimize the tensile st…