Michael Griebel

About Michael Griebel

Michael Griebel, With an exceptional h-index of 60 and a recent h-index of 28 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of numerical analysis, scientific computing, numerical simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Solution of ill-posed integral equations through averaging

Algorithmic Mathematics in Machine Learning

A Dimension-adaptive Combination Technique for Uncertainty Quantification

A dimension-oblivious domain decomposition method based on space-filling curves

Analysis of tensor approximation schemes for continuous functions

Convergence analysis of online algorithms for vector-valued kernel regression

ON THE EXPECTED UNIFORM ERROR OF BROWNIAN MOTION APPROXIMATED BY THE LÉVY–CIESIELSKI CONSTRUCTION

Low-rank approximation of continuous functions in Sobolev spaces with dominating mixed smoothness

Michael Griebel Information

University

Position

Institute for Numerical Simulation Fraunhofer SCAI

Citations(all)

16413

Citations(since 2020)

3704

Cited By

14371

hIndex(all)

60

hIndex(since 2020)

28

i10Index(all)

157

i10Index(since 2020)

72

Email

University Profile Page

Rheinische Friedrich-Wilhelms-Universität Bonn

Google Scholar

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Michael Griebel Skills & Research Interests

numerical analysis

scientific computing

numerical simulation

Top articles of Michael Griebel

Title

Journal

Author(s)

Publication Date

Efficient Solution of ill-posed integral equations through averaging

arXiv preprint arXiv:2401.16250

Michael Griebel

Tim Jahn

2024/1/29

Algorithmic Mathematics in Machine Learning

Bastian Bohn

Jochen Garcke

Michael Griebel

2024

A Dimension-adaptive Combination Technique for Uncertainty Quantification

International Journal for Uncertainty Quantification

Michael Griebel

Uta Seidler

2024

A dimension-oblivious domain decomposition method based on space-filling curves

SIAM Journal on Scientific Computing

Michael Griebel

Marc A Schweitzer

Lukas Troska

2023/4/30

Analysis of tensor approximation schemes for continuous functions

Foundations of Computational Mathematics

Michael Griebel

Helmut Harbrecht

2023/2/1

Convergence analysis of online algorithms for vector-valued kernel regression

arXiv preprint arXiv:2309.07779

Michael Griebel

Peter Oswald

2023/9/14

ON THE EXPECTED UNIFORM ERROR OF BROWNIAN MOTION APPROXIMATED BY THE LÉVY–CIESIELSKI CONSTRUCTION

Bulletin of the Australian Mathematical Society

Bruce Brown

Michael Griebel

Frances Y Kuo

Ian H Sloan

2023/8/24

Low-rank approximation of continuous functions in Sobolev spaces with dominating mixed smoothness

Mathematics of Computation

Michael Griebel

Helmut Harbrecht

Reinhold Schneider

2023/7

Sparse tensor product approximation for a class of generalized method of moments estimators

International Journal for Uncertainty Quantification

Alexandros Gilch

Michael Griebel

Jens Oettershagen

2022

Deep neural networks and PIDE discretizations

SIAM Journal on Mathematics of Data Science

Bastian Bohn

Michael Griebel

Dinesh Kannan

2022

Generalized sparse grid interpolation based on the fast discrete Fourier transform

Michael Griebel

Jan Hamaekers

2021/10/22

A fault-tolerant domain decomposition method based on space-filling curves

arXiv preprint arXiv:2103.03315

Michael Griebel

Marc-Alexander Schweitzer

Lukas Troska

2021/3/4

On the Numerical Approximation of the Karhunen-Lo\{e} ve Expansion for Random Fields with Random Discrete Data

arXiv preprint arXiv:2112.02526

Michael Griebel

Guanglian Li

Christian Rieger

2021/12/5

Stochastic subspace correction methods and fault tolerance

Mathematics of Computation

Michael Griebel

Peter Oswald

2020/1

Multilevel quadrature for elliptic parametric partial differential equations in case of polygonal approximations of curved domains

SIAM Journal on Numerical Analysis

Michael Griebel

Helmut Harbrecht

Michael D Multerer

2020

Mesh Methods for Boundary-Value Problems and Applications

TJ Barth

M Griebel

DE Keyes

RM Nieminen

D Roose

...

2020/10/20

Software for Exascale Computing SPPEXA

TJ Barth

M Griebel

DE Keyes

RM Nieminen

D Roose

...

2020

EXAHD: A massively parallel fault tolerant sparse grid approach for high-dimensional turbulent plasma simulations

Rafael Lago

Michael Obersteiner

Theresa Pollinger

Johannes Rentrop

Hans-Joachim Bungartz

...

2020

See List of Professors in Michael Griebel University(Rheinische Friedrich-Wilhelms-Universität Bonn)