Lars Grasedyck

According to our database1, Lars Grasedyck authored at least 40 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Taming numerical imprecision by adapting the KL divergence to negative probabilities.
Stat. Comput., October, 2024

Overcoming Observation Bias for Cancer Progression Modeling.
Proceedings of the Research in Computational Molecular Biology, 2024

2022
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format.
SIAM/ASA J. Uncertain. Quantification, March, 2022

2021
Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models.
CoRR, 2021

2020
Bayesian inversion for electromyography using low-rank tensor formats.
CoRR, 2020

A parameter-dependent smoother for the multigrid method.
CoRR, 2020

Low-rank tensor methods for Markov chains with applications to tumor progression models.
CoRR, 2020

2019
Stable ALS approximation in the TT-format for rank-adaptive tensor completion.
Numerische Mathematik, 2019

The multipole approach for EEG forward modeling using the finite element method.
NeuroImage, 2019

Finding entries of maximum absolute value in low-rank tensors.
CoRR, 2019

2018
Distributed hierarchical SVD in the Hierarchical Tucker format.
Numer. Linear Algebra Appl., 2018

7th Workshop on Matrix Equations and Tensor Techniques.
Numer. Linear Algebra Appl., 2018

2016
Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

A nearly optimal multigrid method for general unstructured grids.
Numerische Mathematik, 2016

Tensor-Sparsity of Solutions to High-Dimensional Elliptic Partial Differential Equations.
Found. Comput. Math., 2016

2015
Variants of Alternating Least Squares Tensor Completion in the Tensor Train Format.
SIAM J. Sci. Comput., 2015

Hierarchical Tensor Approximation of Output Quantities of Parameter-Dependent PDEs.
SIAM/ASA J. Uncertain. Quantification, 2015

Parallel tensor sampling in the hierarchical Tucker format.
Comput. Vis. Sci., 2015

2014
Tree Adaptive Approximation in the Hierarchical Tensor Format.
SIAM J. Sci. Comput., 2014

2013
A projection method to solve linear systems in tensor format.
Numer. Linear Algebra Appl., 2013

Solving an elliptic PDE eigenvalue problem via automated multi-level substructuring and hierarchical matrices.
Comput. Vis. Sci., 2013

2012
The AL Basis for the Solution of Elliptic Problems in Heterogeneous Media.
Multiscale Model. Simul., 2012

2011
An Introduction to Hierarchical (H-) Rank and TT-Rank of Tensors with Examples.
Comput. Methods Appl. Math., 2011

2010
Hierarchical Singular Value Decomposition of Tensors.
SIAM J. Matrix Anal. Appl., 2010

2009
Domain decomposition based ℋ-LU preconditioning.
Numerische Mathematik, 2009

A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation.
NeuroImage, 2009

2008
Nonlinear multigrid for the solution of large-scale Riccati equations in low-rank and ℋ-matrix format.
Numer. Linear Algebra Appl., 2008

2007
Numerical Mathematics of the Subtraction Method for the Modeling of a Current Dipole in EEG Source Reconstruction Using Finite Element Head Models.
SIAM J. Sci. Comput., 2007

Optimal Panel-Clustering in the Presence of Anisotropic Mesh Refinement.
SIAM J. Numer. Anal., 2007

A Multigrid Method to Solve Large Scale Sylvester Equations.
SIAM J. Matrix Anal. Appl., 2007

A structured low-rank wavelet solver for the Ornstein-Zernike integral equation.
Computing, 2007

2006
H-matrix Preconditioners in Convection-Dominated Problems.
SIAM J. Matrix Anal. Appl., 2006

2005
Hybrid cross approximation of integral operators.
Numerische Mathematik, 2005

Adaptive Recompression of <i>H</i> -Matrices for BEM.
Computing, 2005

2004
Existence of a low rank or ℋ-matrix approximant to the solution of a Sylvester equation.
Numer. Linear Algebra Appl., 2004

Adaptive Geometrically Balanced Clustering of H-Matrices.
Computing, 2004

Existence and Computation of Low Kronecker-Rank Approximations for Large Linear Systems of Tensor Product Structure.
Computing, 2004

Low-Rank Approximation of Integral Operators by Interpolation.
Computing, 2004

2003
Solution of Large Scale Algebraic Matrix Riccati Equations by Use of Hierarchical Matrices.
Computing, 2003

Construction and Arithmetics of H-Matrices.
Computing, 2003


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