( en | de | ru )

 

Disambiguation of "Haasdonk, Bernard"

Author of the publication

copydeleteadd this publication to your clipboard
Reduced Basis Methods for Parameterized Partial Differential Equations with Stochastic Influences Using the Karhunen-Loève Expansion.

, , and . SIAM/ASA J. Uncertain. Quantification, 1 (1): 79-105 (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernard Haasdonk

Bernard Haasdonk

Dirk Bernard

Bernard Andreae

Bernard Willkofer

 

Other publications of authors with the same name

Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods., , , and . CoRR, (2020)Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem., , , and . CoRR, (2020)Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows., , , , and . LSSC, volume 13127 of Lecture Notes in Computer Science, page 410-418. Springer, (2021)Feedback control of parametrized PDEs via model order reduction and dynamic programming principle., , and . Adv. Comput. Math., 46 (1): 9 (2020)Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction on an Uncertainty Quantification Problem., and . ENUMATH, volume 139 of Lecture Notes in Computational Science and Engineering, page 205-213. Springer, (2019)Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods., , , and . ENUMATH, volume 139 of Lecture Notes in Computational Science and Engineering, page 499-508. Springer, (2019)Surrogate-data-enriched Physics-Aware Neural Networks., , , and . NLDL, Septentrio Academic Publishing, (2022)Randomized Symplectic Model Order Reduction for Hamiltonian Systems., , , , and . LSSC, volume 13952 of Lecture Notes in Computer Science, page 99-107. Springer, (2023)Data-driven identification of latent port-Hamiltonian systems., , , , , and . CoRR, (2024)On the Optimality of Target-Data-Dependent Kernel Greedy Interpolation in Sobolev Reproducing Kernel Hilbert Spaces., , and . SIAM J. Numer. Anal., 62 (5): 2249-2275 (2024)