Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats

By M. Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Philipp Wähnert. 2014

88 citations recorded by the source corpus.

Subfields: Computational Mathematics, Computational Mechanics, Statistics and Probability

Citations in the corpus

• A literature survey of low‐rank tensor approximation techniques (2013, neutral): “• the solution of stochastic and parametric PDEs [69, 70, 77, 78, 162, 166, 172, 190, 203];”
• Approximation rates for the hierarchical tensor format in periodic Sobolev spaces (2014, unknown): “This problem has been attacked in [12, 24].”