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Papers matching “low-rank tensor methods” 12

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Low-rank tensor methods for high-dimensional parameter-dependent PDEs: eigenvalue estimation, approximate inverses, and multigrid methods
2026 RWTH Publications (RWTH Aachen) dissertation Mathematics Tensor decomposition and applications Open access

Tim A. Werthmann

0

citations
Low-rank tensor methods for partial differential equations
2023 Acta Numerica article Mathematics Tensor decomposition and applications Open access

Markus Bachmayr

42

citations
Low-rank tensor methods for Markov chains with applications to tumor progression models
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

0

citations
Low-rank tensor methods for Markov chains with applications to tumor progression models
2022 Journal of Mathematical Biology article Mathematics Tensor decomposition and applications Open access

Peter Georg, Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

10

citations
Bayesian inversion for electromyography using low-rank tensor formats
2021 Inverse Problems article Mathematics Numerical methods in inverse problems Open access

Anna Rörich, Tim A. Werthmann, Dominik Göddeke, Lars Grasedyck

3

citations
Iterative thresholding low-rank time integration for high-dimensional problems
2026 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access

Markus Bachmayr, Tianyu Jin, Polina Sachsenmaier, Federico Vismara

0

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access

Sergey Dolgov, Lars Grasedyck, Robert Scheichl

20

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Iterative algorithms for the post-processing of high-dimensional data
2020 Journal of Computational Physics article Mathematics Tensor decomposition and applications

Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann Georg Matthies, Elmar Zander

12

citations
A parameter-dependent smoother for the multigrid method
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Lars Grasedyck, Maren Klever, Christian Löbbert, Tim A. Werthmann

0

citations
Numerical upscaling of parametric microstructures in a possibilistic uncertainty framework with tensor trains
2022 Computational Mechanics article Decision Sciences Probabilistic and Robust Engineering Design Open access

Martin Eigel, Robert Gruhlke, Dieter Moser, Lars Grasedyck

1

citations
Elastic Multi-view Subspace Clustering with Pairwise and High-order Correlations
2023 IEEE Transactions on Knowledge and Data Engineering article Computer Science Advanced Clustering Algorithms Research

Yalan Qin, Nan Pu, Hanzhou Wu

38

citations

12 results