Construction and Arithmetics of H-Matrices. - Lars Grasedyck; Wolfgang Hackbusch (Computing, 2003)

Solution of Large Scale Algebraic Matrix Riccati Equations by Use of Hierarchical Matrices. - Lars Grasedyck; Wolfgang Hackbusch; Boris N. Khoromskij (Computing, 2003)

Low-Rank Approximation of Integral Operators by Interpolation. - Steffen Börm; Lars Grasedyck (Computing, 2004)

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

Adaptive Geometrically Balanced Clustering of H-Matrices. - Lars Grasedyck; Wolfgang Hackbusch; Sabine Le Borne (Computing, 2004)

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

Adaptive Recompression of H -Matrices for BEM. - Lars Grasedyck (Computing, 2005)

Hybrid cross approximation of integral operators. - Steffen Börm; Lars Grasedyck (Numerische Mathematik, 2005)

H-matrix Preconditioners in Convection-Dominated Problems. - Sabine Le Borne; Lars Grasedyck (SIAM J. Matrix Anal. Appl., 2006)

A structured low-rank wavelet solver for the Ornstein-Zernike integral equation. - Maxim V. Fedorov; Heinz-Jürgen Flad; Gennady N. Chuev; Lars Grasedyck; Boris N. Khoromskij (Computing, 2007)

A Multigrid Method to Solve Large Scale Sylvester Equations. - Lars Grasedyck; Wolfgang Hackbusch (SIAM J. Matrix Anal. Appl., 2007)

Optimal Panel-Clustering in the Presence of Anisotropic Mesh Refinement. - Ivan G. Graham; Lars Grasedyck; Wolfgang Hackbusch; Stefan A. Sauter (SIAM J. Numer. Anal., 2007)

Numerical Mathematics of the Subtraction Method for the Modeling of a Current Dipole in EEG Source Reconstruction Using Finite Element Head Models. - Carsten H. Wolters; Harald Köstler; Christian Möller; Jochen Härdtlein; Lars Grasedyck; Wolfgang Hackbusch (SIAM J. Sci. Comput., 2007)

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

A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation. - Florian Drechsler; Carsten H. Wolters; Thomas Dierkes; Hang Si; Lars Grasedyck (NeuroImage, 2009)

Domain decomposition based ℋ-LU preconditioning. - Lars Grasedyck; Ronald Kriemann; Sabine Le Borne (Numerische Mathematik, 2009)

Hierarchical Singular Value Decomposition of Tensors. - Lars Grasedyck (SIAM J. Matrix Anal. Appl., 2010)

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

The AL Basis for the Solution of Elliptic Problems in Heterogeneous Media. - Lars Grasedyck; Isabelle Greff; Stefan A. Sauter (Multiscale Model. Simul., 2012)

Solving an elliptic PDE eigenvalue problem via automated multi-level substructuring and hierarchical matrices. - Peter Gerds; Lars Grasedyck (Comput. Vis. Sci., 2013)

A projection method to solve linear systems in tensor format. - Jonas Ballani; Lars Grasedyck (Numer. Linear Algebra Appl., 2013)

Tree Adaptive Approximation in the Hierarchical Tensor Format. - Jonas Ballani; Lars Grasedyck (SIAM J. Sci. Comput., 2014)

Parallel tensor sampling in the hierarchical Tucker format. - Lars Grasedyck; Ronald Kriemann; Christian Löbbert; Arne Nägel; Gabriel Wittum; Konstantinos Xylouris (Comput. Vis. Sci., 2015)

Hierarchical Tensor Approximation of Output Quantities of Parameter-Dependent PDEs. - Jonas Ballani; Lars Grasedyck (SIAM/ASA J. Uncertain. Quantification, 2015)

Variants of Alternating Least Squares Tensor Completion in the Tensor Train Format. - Lars Grasedyck; Melanie Kluge; Sebastian Krämer (SIAM J. Sci. Comput., 2015)

Tensor-Sparsity of Solutions to High-Dimensional Elliptic Partial Differential Equations. - Wolfgang Dahmen; Ronald A. DeVore; Lars Grasedyck; Endre Süli (Found. Comput. Math., 2016)

A nearly optimal multigrid method for general unstructured grids. - Lars Grasedyck; Lu Wang; Jinchao Xu (Numerische Mathematik, 2016)

Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations. - Lars Grasedyck; Christian Löbbert; Gabriel Wittum; Arne Nägel; Volker Schulz 001; Martin Siebenborn; Rolf Krause; Pietro Benedusi; Uwe Küster; Björn Dick (Software for Exascale Computing, 2016)

7th Workshop on Matrix Equations and Tensor Techniques. - Peter Benner; Heike Faßbender; Lars Grasedyck; Daniel Kressner; Beatrice Meini; Valeria Simoncini (Numer. Linear Algebra Appl., 2018)

Distributed hierarchical SVD in the Hierarchical Tucker format. - Lars Grasedyck; Christian Löbbert (Numer. Linear Algebra Appl., 2018)

Finding entries of maximum absolute value in low-rank tensors. - Lars Grasedyck; Lukas Juschka; Christian Löbbert (CoRR, 2019)

The multipole approach for EEG forward modeling using the finite element method. - Johannes Vorwerk; Anne Hanrath; Carsten H. Wolters; Lars Grasedyck (NeuroImage, 2019)

Stable ALS approximation in the TT-format for rank-adaptive tensor completion. - Lars Grasedyck; Sebastian Krämer (Numerische Mathematik, 2019)

Low-rank tensor methods for Markov chains with applications to tumor progression models. - Peter Georg; Lars Grasedyck; Maren Klever; Rudolf Schill; Rainer Spang; Tilo Wettig (CoRR, 2020)

A parameter-dependent smoother for the multigrid method. - Lars Grasedyck; Maren Klever; Christian Löbbert; Tim A. Werthmann (CoRR, 2020)

Bayesian inversion for electromyography using low-rank tensor formats. - Anna Rörich; Tim A. Werthmann; Dominik Göddeke; Lars Grasedyck (CoRR, 2020)

Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. - Paul B. Rohrbach; Sergey Dolgov; Lars Grasedyck; Robert Scheichl (SIAM/ASA J. Uncertain. Quantification, 2022)

Overcoming Observation Bias for Cancer Progression Modeling. - Rudolf Schill; Maren Klever; Andreas Lösch; Y. Linda Hu; Stefan Vocht; Kevin Rupp; Lars Grasedyck; Rainer Spang; Niko Beerenwinkel (RECOMB, 2024)

Modeling metastatic progression from cross-sectional cancer genomics data. - Kevin Rupp; Andreas Lösch; Y. Linda Hu; Chenxi Nie; Rudolf Schill; Maren Klever; Simon Pfahler; Lars Grasedyck; Tilo Wettig; Niko Beerenwinkel; Rainer Spang (Bioinform., 2024)

Correcting for Observation Bias in Cancer Progression Modeling. - Rudolf Schill; Maren Klever; Andreas Lösch; Y. Linda Hu; Stefan Vocht; Kevin Rupp; Lars Grasedyck; Rainer Spang; Niko Beerenwinkel (J. Comput. Biol., 2024)

Taming numerical imprecision by adapting the KL divergence to negative probabilities. - Simon Pfahler; Peter Georg; Rudolf Schill; Maren Klever; Lars Grasedyck; Rainer Spang; Tilo Wettig (Stat. Comput., 2024)

Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models. - Kevin Rupp; Rudolf Schill; Jonas Süskind; Peter Georg; Maren Klever; Andreas Lösch; Lars Grasedyck; Tilo Wettig; Rainer Spang (Comput. Stat., 2024)

Reconstructing Disease Histories in Huge Discrete State Spaces. - Rudolf Schill; Maren Klever; Kevin Rupp; Y. Linda Hu; Andreas Lösch; Peter Georg; Simon Pfahler; Stefan Vocht; Stefan Hansch; Tilo Wettig; Lars Grasedyck; Rainer Spang (Künstliche Intell., 2025)