Number of items: **6**.

## 2019

von Larcher, T. and Klein, R.
(2019)
*On identification of self-similar characteristics using the Tensor Train decomposition method with application to channel turbulence flow.*
Theoretical and Computational Fluid Dynamics, 33
.
pp. 1-19.
ISSN 0935-4964 (Print) 1432-2250 (Online)

## 2018

Kornhuber, R. and Peterseim, D. and Yserentant, H.
(2018)
*An analysis of a class of variational multiscale methods based on subspace decomposition.*
Mathematics of Computation, 87
(314).
pp. 2765-2774.
ISSN 1088-6842 (online)

## 2017

Kornhuber, R. and Podlesny, J. and Yserentant, H.
(2017)
*Direct and Iterative Methods for Numerical Homogenization.*
In:
Domain Decomposition Methods in Science and Engineering.
Lecture Notes in Computational Science and Engineering, XXIII
(116).
SpringerLink, pp. 217-225.
ISBN 978-3-319-52389-7

von Larcher, T. and Klein, R.
(2017)
*Approximating turbulent and non-turbulent events with the Tensor Train decomposition method.*
In:
Turbulence in the Complex Conditions.
Springer.
(Submitted)

## 2016

Kornhuber, R. and Yserentant, H.
(2016)
*Numerical Homogenization of Elliptic Multiscale
Problems by Subspace Decomposition.*
Multiscale Model. Simul., 14
(3).
pp. 1017-1036.
ISSN print: 1540-3459; online: 1540-3467

## 2015

Horenko, I. and Gerber, S.
(2015)
*Improving clustering by imposing network information.*
Science Advances, 1
(7).
ISSN 2375-2548

This list was generated on **Fri Jul 19 14:51:22 2019 CEST**.