Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker-Planck Equation
By Sergey V. Dolgov, Boris N. Khoromskij, Ivan V. Oseledets. 2012
153 citations recorded by the source corpus.
Subfields: Computational Mathematics, Computational Theory and Mathematics, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mathematics
- Andrzej S. Cichocki
- Qibin Zhao
- André Uschmajew
- Guoxu Zhou
- Reinhold Schneider
- Liqing Zhang
- Shengli Xie
- Thorsten Rohwedder
In Computational Theory and Mathematics
- Andrzej S. Cichocki
- André Uschmajew
- Qibin Zhao
- Guoxu Zhou
- Reinhold Schneider
- Liqing Zhang
- Shengli Xie
- Thorsten Rohwedder
In Statistics and Probability
Citations in the corpus
- A literature survey of low‐rank tensor approximation techniques (2013, neutral): “An alternative, which allows to control the error global-in-time, is to apply iterative solvers to a space-time formulation [5,8,61,64,94].”
- Tensor Ring Decomposition (2016, background): “The usefulness of these tensor formats is currently being investigated for a variety of high-dimensional problems [35], [36].”
- Approximation rates for the hierarchical tensor format in periodic Sobolev spaces (2014, background): “in [23], and for Fokker Planck equation in [11].”