Bernard Haasdonk

Univ. -Prof. Dr. Bernard Haasdonk

College

University of Stuttgart

Own Thesis
Related Theses

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Deep and greedy kernel methods : algorithms, analysis and applications

T. Wenzel. Universität Stuttgart, Stuttgart, Dissertation, (2023)

Doctoral advisor: Bernard Haasdonk
First reviewer:

Reviewer:
Advisor:
Author: Tizian Wenzel
Editor:
Other:

Approximation with matrix-valued kernels and highly effective error estimators for reduced basis approximations

D. Wittwar. Universität Stuttgart, Stuttgart, Dissertation, (2022)

Doctoral advisor: Bernard Haasdonk
First reviewer:

Reviewer:
Advisor:
Author: Dominik Wittwar
Editor:
Other:

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