Publications

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1579 Publications visible to you, out of a total of 1579

Uncertainty quantification for fluid-structure interaction, application to aortic biomechanics

Data Mining and Uncertainty Quantification

Abstract

Not specified

Author: Jonas Kratzke

Date Published: 2018

Publication Type: Doctoral Thesis

Citation: Ruprecht-Karls-Universität Heidelberg 2018, 2018, Vincent Heuveline(Tutor)

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Dielectrophoretic force-driven convection in annular geometry under Earth’s gravity

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Torsten Seelig, Antoine Meyer, Philipp Gerstner, Martin Meier, Marcel Jongmanns, Martin Baumann, Vincent Heuveline, Christoph Egbers

Date Published: 2018

Publication Type: Journal

Citation: arXiv preprint arXiv:1812.05460

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

OpenGL@API-Based Analysis of Large Datasets in a Cloud Environment

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Wolfgang Mexner, Matthias Bonn, Andreas Kopmann, Viktor Mauch, Doris Ressmann, Suren A Chilingaryan, Nicholas Tan Jerome, Thomas van de Kamp, Vincent Heuveline, Philipp Lösel

Date Published: 2018

Publication Type: InCollection

Citation: In Design and Use of Virtualization Technology in Cloud Computing, pp. 161–181, IGI Global

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Nested Schur-Complement Solver for a Low-Mach Number Model: Application to a Cyclone-Cyclone Interaction

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Simon Gawlok, Vincent Heuveline

Date Published: 2018

Publication Type: Journal

DOI: 10.11588/emclpp.2018.02.56653

Citation: Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(02)

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Learning model discrepancy of an electric motor with Bayesian inference

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: David John, Michael Schick, Vincent Heuveline

Date Published: 2018

Publication Type: Journal

DOI: 10.11588/emclpp.2018.1.51320

Citation: Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(01)

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Bayesian inference for estimating model discrepancy of an electric motor

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: David John, Michael Schick, Vincent Heuveline

Date Published: 2018

Publication Type: Journal

Citation: PAMM, 18(1):1–2

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Toric Varieties vs. Horofunction Compactifications of Polyhedral Norms

Groups and Geometry

Abstract

Not specified

Authors: Lizhen Ji, Anna-Sofie Schilling

Date Published: 2018

Publication Type: Journal

Citation: L’Enseignement Mathèmatique, 63:375–401

Created: 7th Sep 2019 at 12:12, Last updated: 5th Mar 2024 at 21:23

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