heiDOK: No conditions. Results ordered -Date Deposited.
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Fri, 29 Mar 2024 12:42:28 +0100Fri, 29 Mar 2024 12:42:28 +0100en Diffuse interface models in theory of interacting continua
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Řehoř, Martin (2018) Diffuse interface models in theory of interacting continua. [Dissertation] Uncertainty Quantification for Fluid-Structure Interaction: Application to Aortic Biomechanics
https://archiv.ub.uni-heidelberg.de/volltextserver/25677/
Kratzke, Jonas (2018) Uncertainty Quantification for Fluid-Structure Interaction: Application to Aortic Biomechanics. [Dissertation] Advanced documentation methods in studying Corinthian black-figure vase painting
https://archiv.ub.uni-heidelberg.de/volltextserver/25189/
Bayer, Paul Victor ; Karl, Stephan ; Mara, Hubert ; Márton, András (2018) Advanced documentation methods in studying Corinthian black-figure vase painting. [Video] Multilevel Schwarz methods for multigroup radiation transport problems
https://archiv.ub.uni-heidelberg.de/volltextserver/25216/
Lucero Lorca, Jose Pablo (2018) Multilevel Schwarz methods for multigroup radiation transport problems. [Dissertation] Real-Time Optimization for Estimation and Control: Application to Waste Heat Recovery for Heavy Duty Trucks
https://archiv.ub.uni-heidelberg.de/volltextserver/25199/
Guerrero Merino, Enrique Eduardo (2018) Real-Time Optimization for Estimation and Control: Application to Waste Heat Recovery for Heavy Duty Trucks. [Dissertation] GigaMesh Software Framework Tutorial 4: Pottery Profiles
https://archiv.ub.uni-heidelberg.de/volltextserver/25188/
Bayer, Paul Victor (2018) GigaMesh Software Framework Tutorial 4: Pottery Profiles. [Video] GigaMesh Software Framework Tutorial 3: Sphere Unwrapping
https://archiv.ub.uni-heidelberg.de/volltextserver/25128/
Bayer, Paul Victor (2018) GigaMesh Software Framework Tutorial 3: Sphere Unwrapping. [Video] GigaMesh Software Framework Tutorial 2: Cone Unwrapping
https://archiv.ub.uni-heidelberg.de/volltextserver/24812/
Bayer, Paul Victor (2018) GigaMesh Software Framework Tutorial 2: Cone Unwrapping. [Video] GigaMesh Software Framework Tutorial 1: First Steps
https://archiv.ub.uni-heidelberg.de/volltextserver/24463/
Bayer, Paul Victor (2018) GigaMesh Software Framework Tutorial 1: First Steps. [Video] Uncertainty Quantification for a Blood Pump Device with Generalized Polynomial Chaos Expansion
https://archiv.ub.uni-heidelberg.de/volltextserver/24790/
Song, Chen (2018) Uncertainty Quantification for a Blood Pump Device with Generalized Polynomial Chaos Expansion. [Dissertation] Wie Computer lernen
https://archiv.ub.uni-heidelberg.de/volltextserver/24572/
Hamprecht, Fred A. (2018) Wie Computer lernen. [Audio] Multi-Level Iteration Schemes with Adaptive Level Choice for Nonlinear Model Predictive Control
https://archiv.ub.uni-heidelberg.de/volltextserver/24402/
Wirsching, Leonard (2018) Multi-Level Iteration Schemes with Adaptive Level Choice for Nonlinear Model Predictive Control. [Dissertation] Corneal functional optical zone under monocular and binocular assessment
https://archiv.ub.uni-heidelberg.de/volltextserver/24350/
Mosquera, Samuel Arba ; de Ortueta, Diego ; Verma, Shwetabh (2018) Corneal functional optical zone under monocular and binocular assessment. Eye and Vision, 5 (3). pp. 1-13. ISSN 2326-0254 The art of nomograms
https://archiv.ub.uni-heidelberg.de/volltextserver/24349/
Mosquera, Samuel ; Ortueta, Diego ; Verma, Shwetabh (2018) The art of nomograms. Eye and Vision, 5 (2). pp. 1-13. ISSN 2326-0254 Das Gehirn verstehen lernen
https://archiv.ub.uni-heidelberg.de/volltextserver/24240/
Hamprecht, Fred A. (2018) Das Gehirn verstehen lernen. [Audio] Fast numerical methods for robust nonlinear optimal control under uncertainty
https://archiv.ub.uni-heidelberg.de/volltextserver/24212/
Bergner, Lilli (2018) Fast numerical methods for robust nonlinear optimal control under uncertainty. [Dissertation] Numerical Methods for Scenario Tree Nonlinear Model Predictive Control
https://archiv.ub.uni-heidelberg.de/volltextserver/24124/
Leidereiter, Conrad (2018) Numerical Methods for Scenario Tree Nonlinear Model Predictive Control. [Dissertation]