Lars Grasedyck

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 15

Top Topics

Differential Equations

Alternating Least Squares

Gaussian Densities

Top Venues

SIAM/ASA J. Uncertain. Quantification

Numerische Mathematik

Numer. Linear Algebra Appl.

Publications

Simon Pfahler, Peter Georg, Rudolf Schill, Maren Klever, Lars Grasedyck, Rainer Spang, Tilo Wettig
Taming numerical imprecision by adapting the KL divergence to negative probabilities. Stat. Comput. 34 (5) (2024)
Rudolf Schill, Maren Klever, Andreas Lösch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang, Niko Beerenwinkel
Overcoming Observation Bias for Cancer Progression Modeling. RECOMB (2024)
Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. SIAM/ASA J. Uncertain. Quantification 10 (1) (2022)
Kevin Rupp, Rudolf Schill, Jonas Süskind, Peter Georg, Maren Klever, Andreas Lösch, Lars Grasedyck, Tilo Wettig, Rainer Spang
Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models. CoRR (2021)
Anna Rörich, Tim A. Werthmann, Dominik Göddeke, Lars Grasedyck
Bayesian inversion for electromyography using low-rank tensor formats. CoRR (2020)
Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. CoRR (2020)
Lars Grasedyck, Maren Klever, Christian Löbbert, Tim A. Werthmann
A parameter-dependent smoother for the multigrid method. CoRR (2020)
Peter Georg, Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig
Low-rank tensor methods for Markov chains with applications to tumor progression models. CoRR (2020)
Lars Grasedyck, Sebastian Krämer
Stable ALS approximation in the TT-format for rank-adaptive tensor completion. Numerische Mathematik 143 (4) (2019)
Lars Grasedyck, Lukas Juschka, Christian Löbbert
Finding entries of maximum absolute value in low-rank tensors. CoRR (2019)
Johannes Vorwerk, Anne Hanrath, Carsten H. Wolters, Lars Grasedyck
The multipole approach for EEG forward modeling using the finite element method. NeuroImage 201 (2019)
Peter Benner, Heike Faßbender, Lars Grasedyck, Daniel Kressner, Beatrice Meini, Valeria Simoncini
7th Workshop on Matrix Equations and Tensor Techniques. Numer. Linear Algebra Appl. 25 (6) (2018)
Lars Grasedyck, Christian Löbbert
Distributed hierarchical SVD in the Hierarchical Tucker format. Numer. Linear Algebra Appl. 25 (6) (2018)
Lars Grasedyck, Lu Wang, Jinchao Xu
A nearly optimal multigrid method for general unstructured grids. Numerische Mathematik 134 (3) (2016)
Wolfgang Dahmen, Ronald A. DeVore, Lars Grasedyck, Endre Süli
Tensor-Sparsity of Solutions to High-Dimensional Elliptic Partial Differential Equations. Found. Comput. Math. 16 (4) (2016)
Lars Grasedyck, Melanie Kluge, Sebastian Krämer
Variants of Alternating Least Squares Tensor Completion in the Tensor Train Format. SIAM J. Sci. Comput. 37 (5) (2015)
Jonas Ballani, Lars Grasedyck
Hierarchical Tensor Approximation of Output Quantities of Parameter-Dependent PDEs. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Lars Grasedyck, Ronald Kriemann, Christian Löbbert, Arne Nägel, Gabriel Wittum, Konstantinos Xylouris
Parallel tensor sampling in the hierarchical Tucker format. Comput. Vis. Sci. 17 (2) (2015)
Jonas Ballani, Lars Grasedyck
Tree Adaptive Approximation in the Hierarchical Tensor Format. SIAM J. Sci. Comput. 36 (4) (2014)
Jonas Ballani, Lars Grasedyck
A projection method to solve linear systems in tensor format. Numer. Linear Algebra Appl. 20 (1) (2013)
Peter Gerds, Lars Grasedyck
Solving an elliptic PDE eigenvalue problem via automated multi-level substructuring and hierarchical matrices. Comput. Vis. Sci. 16 (6) (2013)
Lars Grasedyck, Isabelle Greff, Stefan A. Sauter
The AL Basis for the Solution of Elliptic Problems in Heterogeneous Media. Multiscale Model. Simul. 10 (1) (2012)
Lars Grasedyck, Wolfgang Hackbusch
An Introduction to Hierarchical (H-) Rank and TT-Rank of Tensors with Examples. Comput. Methods Appl. Math. 11 (3) (2011)
Lars Grasedyck
Hierarchical Singular Value Decomposition of Tensors. SIAM J. Matrix Anal. Appl. 31 (4) (2010)
Florian Drechsler, Carsten H. Wolters, Thomas Dierkes, Hang Si, Lars Grasedyck
A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation. NeuroImage 46 (4) (2009)
Lars Grasedyck, Ronald Kriemann, Sabine Le Borne
Domain decomposition based ℋ-LU preconditioning. Numerische Mathematik 112 (4) (2009)
Lars Grasedyck
Nonlinear multigrid for the solution of large-scale Riccati equations in low-rank and ℋ-matrix format. Numer. Linear Algebra Appl. 15 (9) (2008)
Lars Grasedyck, Wolfgang Hackbusch
A Multigrid Method to Solve Large Scale Sylvester Equations. SIAM J. Matrix Anal. Appl. 29 (3) (2007)
Maxim V. Fedorov, Heinz-Jürgen Flad, Gennady N. Chuev, Lars Grasedyck, Boris N. Khoromskij
A structured low-rank wavelet solver for the Ornstein-Zernike integral equation. Computing 80 (1) (2007)
Ivan G. Graham, Lars Grasedyck, Wolfgang Hackbusch, Stefan A. Sauter
Optimal Panel-Clustering in the Presence of Anisotropic Mesh Refinement. SIAM J. Numer. Anal. 46 (1) (2007)
Carsten H. Wolters, Harald Köstler, Christian Möller, Jochen Härdtlein, Lars Grasedyck, Wolfgang Hackbusch
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. 30 (1) (2007)
Sabine Le Borne, Lars Grasedyck
H-matrix Preconditioners in Convection-Dominated Problems. SIAM J. Matrix Anal. Appl. 27 (4) (2006)
Lars Grasedyck
-Matrices for BEM. Computing 74 (3) (2005)
Steffen Börm, Lars Grasedyck
Hybrid cross approximation of integral operators. Numerische Mathematik 101 (2) (2005)
Lars Grasedyck
Existence of a low rank or ℋ-matrix approximant to the solution of a Sylvester equation. Numer. Linear Algebra Appl. 11 (4) (2004)
Lars Grasedyck, Wolfgang Hackbusch, Sabine Le Borne
Adaptive Geometrically Balanced Clustering of H-Matrices. Computing 73 (1) (2004)
Steffen Börm, Lars Grasedyck
Low-Rank Approximation of Integral Operators by Interpolation. Computing 72 (3-4) (2004)
Lars Grasedyck
Existence and Computation of Low Kronecker-Rank Approximations for Large Linear Systems of Tensor Product Structure. Computing 72 (3-4) (2004)
Lars Grasedyck, Wolfgang Hackbusch, Boris N. Khoromskij
Solution of Large Scale Algebraic Matrix Riccati Equations by Use of Hierarchical Matrices. Computing 70 (2) (2003)
Lars Grasedyck, Wolfgang Hackbusch
Construction and Arithmetics of H-Matrices. Computing 70 (4) (2003)