Markus Bachmayr

Orcid: 0000-0002-8051-2270

According to our database1, Markus Bachmayr authored at least 28 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Low-rank tensor product Richardson iteration for radiative transfer in plane-parallel geometry.
CoRR, 2024

A convergent adaptive finite element stochastic Galerkin method based on multilevel expansions of random fields.
CoRR, 2024

2023
Polynomial approximation of symmetric functions.
Math. Comput., June, 2023

Low-rank tensor methods for partial differential equations.
Acta Numer., May, 2023

Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations.
CoRR, 2023

A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations.
CoRR, 2023

2022
Atomic cluster expansion: Completeness, efficiency and stability.
J. Comput. Phys., 2022

2021
Existence of dynamical low-rank approximations to parabolic problems.
Math. Comput., 2021

Approximation by tree tensor networks in high dimensions: Sobolev and compositional functions.
CoRR, 2021

Polynomial Approximation of Symmetric Functions.
CoRR, 2021

An adaptive stochastic Galerkin method based on multilevel expansions of random fields: Convergence and optimality.
CoRR, 2021

Particle Number Conservation and Block Structures in Matrix Product States.
CoRR, 2021

2020
Unified Analysis of Periodization-Based Sampling Methods for Matérn Covariances.
SIAM J. Numer. Anal., 2020

Stability of Low-Rank Tensor Representations and Structured Multilevel Preconditioning for Elliptic PDEs.
Found. Comput. Math., 2020

Multilevel Representations of Isotropic Gaussian Random Fields on the Sphere.
CoRR, 2020

Existence of dynamical low-rank approximations to parabolic problems.
CoRR, 2020

Adaptive low-rank approximations for operator equations: Accuracy control and computational complexity.
Proceedings of the 75 Years of Mathematics of Computation, 2020

2019
Sequential Sampling for Optimal Weighted Least Squares Approximations in Hierarchical Spaces.
SIAM J. Math. Data Sci., 2019

Approximation of Potential Energy Surfaces with Spherical Harmonics.
CoRR, 2019

Adaptive Low-Rank Approximations for Operator Equations: Accuracy Control and Computational Complexity.
CoRR, 2019

2017
Fully Discrete Approximation of Parametric and Stochastic Elliptic PDEs.
SIAM J. Numer. Anal., 2017

Kolmogorov widths and low-rank approximations of parametric elliptic PDEs.
Math. Comput., 2017

Iterative Methods Based on Soft Thresholding of Hierarchical Tensors.
Found. Comput. Math., 2017

2016
Adaptive Low-Rank Methods: Problems on Sobolev Spaces.
SIAM J. Numer. Anal., 2016

Tensor Networks and Hierarchical Tensors for the Solution of High-Dimensional Partial Differential Equations.
Found. Comput. Math., 2016

2015
Adaptive Near-Optimal Rank Tensor Approximation for High-Dimensional Operator Equations.
Found. Comput. Math., 2015

2014
Error estimates for Hermite and even-tempered Gaussian approximations in quantum chemistry.
Numerische Mathematik, 2014

2013
Integration of Products of Gaussians and Wavelets with Applications to Electronic Structure Calculations.
SIAM J. Numer. Anal., 2013


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