◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Bachmayr

5 papers hereh-index 181.3k citations56 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 5 papers where every author was matched, so the position is known.

fields
  • math.NA4
  • math.AP1

identity via Semantic Scholar / OpenAlex

activity
20182020
collaborators
Showing math.NAShow all

4 papers · 1 filter

math.NA2020

Existence of dynamical low-rank approximations to parabolic problems

Markus Bachmayr, Henrik Eisenmann, Emil Kieri +1

The existence and uniqueness of weak solutions to dynamical low-rank evolution problems for parabolic partial differential equations in two spatial dimensions is shown, covering al…

math.NA2019

Adaptive Low-Rank Approximations for Operator Equations: Accuracy Control and Computational Complexity

Markus Bachmayr, Wolfgang Dahmen

The challenge of mastering computational tasks of enormous size tends to frequently override questioning the quality of the numerical outcome in terms of accuracy. By this we do no…

math.NA2019

Unified Analysis of Periodization-Based Sampling Methods for Matérn Covariances

Markus Bachmayr, Ivan G. Graham, Van Kien Nguyen +1

The periodization of a stationary Gaussian random field on a sufficiently large torus comprising the spatial domain of interest is the basis of various efficient computational meth…

math.NA2018

Stability of Low-Rank Tensor Representations and Structured Multilevel Preconditioning for Elliptic PDEs

Markus Bachmayr, Vladimir Kazeev

Folding grid value vectors of size 2L into Lth order tensors of mode sizes 2×⋯×2, combined with low-rank representation in the tensor train format, has been…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.