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Bernard Haasdonk

Mathematiker

Name	Bernard Haasdonk
Ort	Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Jun.-Prof. Dr.
Beruf	Mathematiker (charakteristischer Beruf) Hochschullehrer
Variante	B. Haasdonk
Beziehung	Universität Stuttgart. Institut für Angewandte Analysis und Numerische Simulation
Weitere Angaben	Diss. Freiburg i. Br. 2005
Datensatztyp	Person
GND-Nummer	1046535048
Datensatz-ID	1046535048
Beteiligt an alle anzeigen Greedy kernel methods for approximating breakthrough curves for reactive flow from 3D porous geometry data Structure-preserving model reduction on subspaces and manifolds A novel model extended from the Bouguer-Lambert-Beer law can describe the non-linear absorbance of potassium dichromate solutions and microalgae suspensions Deep and greedy kernel methods : algorithms, analysis and applications Improving determination of pigment contents in microalgae suspension with absorption spectroscopy : light scattering effect and Bouguer-Lambert-Beer law Port-Hamiltonian fluid-structure interaction modelling and structure-preserving model order reduction of a classical guitar Total variation minimization via dual-based methods and its discretization aspects Analysis of target data-dependent greedy kernel algorithms : convergence rates for f-, f· P- and f / P-greedy Approximation with matrix-valued kernels and highly effective error estimators for reduced basis approximations Rigorous and effective a-posteriori error bounds for nonlinear problems—application to RB methods Symplectic model order reduction with non-orthonormal bases Efficient parametric analysis of the chemical master equation through model order reduction Efficient parametric analysis of the chemical master equation through model order reduction Reduced basis method for quadratically nonlinear transport equations A reduced basis method for evolution schemes with parameter dependent explicit operators Reduced basis method for finite volume approximations of parametrized evolution equations Transformation knowledge in pattern analysis with kernel methods : distance and integration kernels Transformation knowledge in pattern analysis with kernel methods : distance and integration kernels Transformation Knowledge in Pattern Analysis with Kernel Methods: Distance and Integration Kernels h-p-multiresolution visualization of adaptive finite element simulations

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Katalog der Deutschen Nationalbibliothek

Bernard Haasdonk

Greedy kernel methods for approximating breakthrough curves for reactive flow from 3D porous geometry data

Structure-preserving model reduction on subspaces and manifolds

A novel model extended from the Bouguer-Lambert-Beer law can describe the non-linear absorbance of potassium dichromate solutions and microalgae suspensions

Deep and greedy kernel methods : algorithms, analysis and applications

Improving determination of pigment contents in microalgae suspension with absorption spectroscopy : light scattering effect and Bouguer-Lambert-Beer law

Port-Hamiltonian fluid-structure interaction modelling and structure-preserving model order reduction of a classical guitar

Total variation minimization via dual-based methods and its discretization aspects

Analysis of target data-dependent greedy kernel algorithms : convergence rates for f-, f· P- and f / P-greedy

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

Rigorous and effective a-posteriori error bounds for nonlinear problems—application to RB methods

Symplectic model order reduction with non-orthonormal bases

Efficient parametric analysis of the chemical master equation through model order reduction

Efficient parametric analysis of the chemical master equation through model order reduction

Reduced basis method for quadratically nonlinear transport equations

A reduced basis method for evolution schemes with parameter dependent explicit operators

Reduced basis method for finite volume approximations of parametrized evolution equations

Transformation knowledge in pattern analysis with kernel methods : distance and integration kernels

Transformation knowledge in pattern analysis with kernel methods : distance and integration kernels

Transformation Knowledge in Pattern Analysis with Kernel Methods: Distance and Integration Kernels

h-p-multiresolution visualization of adaptive finite element simulations