Roman Andreev
Computational Theory and Mathematics · 2012–2015
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 26 citations into it; #3,200 of 12,182 by trust here, #8,756 by citations
- Computational Mathematics — 18 citations into it; #277 of 612 by trust here, #543 by citations
- Statistics and Probability — 16 citations into it
- Computational Mechanics — 9 citations into it; #2,717 of 10,001 by trust here, #7,884 by citations
- Statistical and Nonlinear Physics — 9 citations into it
- Environmental Engineering — 8 citations into it
- Numerical Methods & Scientific Computing — 7 citations into it
Whom Roman Andreev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan V. Oseledets
- Boris N. Khoromskij
- Lars Grasedyck
- Christine Tobler
- Daniel Kressner
- Jonas Ballani
- Wolfgang Hackbusch
- Dmitry V. Savostyanov
- Christoph Schwab
- E. E. Tyrtyshnikov
Who trusts Roman Andreev overall
- Christine Tobler
- V. Dolgov
- Peter Benner
- Dmitry V. Savostyanov
- Sergey V. Dolgov
- Olaf Steinbach
- Akwum Onwunta
Papers from Roman Andreev's perspective
Ordered by how strongly the researchers Roman Andreev trusts endorse each paper. Same corpus, a different order for every researcher.
- f¨ur Mathematik in den Naturwissenschaften Leipzig Hierarchical Singular Value Decomposition of Tensors
- Tensor Decompositions and Applications
- TT-cross approximation for multidimensional arrays
- A New Scheme for the Tensor Representation
- Tensors-structured Numerical Methods in Scientific Computing: Survey on Recent Advances
- Quantics-TT Collocation Approximation of Parameter-Dependent and Stochastic Elliptic PDEs
- Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems
- Tensor-Train Decomposition
- Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
- A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (SIAM Review)
Their papers
- Multilevel preconditioning and low‐rank tensor iteration for space–time simultaneous discretizations of parabolic PDEs (2015) — 48 citations
- Stability of sparse space–time finite element discretizations of linear parabolic evolution equations (2013) — 96 citations
- Sparse tensor approximation of parametric eigenvalue problems (2012) — 51 citations