Vladimir A. Kazeev
Computational Mathematics · 2010–2014
A researcher in the Science corpus: 6 papers; trusts 43 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computational Mathematics — 79 citations into it; #97 of 612 by trust here, #143 by citations
- Computational Theory and Mathematics — 65 citations into it; #1,684 of 12,182 by trust here, #2,689 by citations
- Atomic and Molecular Physics, and Optics — 27 citations into it
- Numerical Methods & Scientific Computing — 24 citations into it
- Statistical and Nonlinear Physics — 18 citations into it
- Mathematical Optimization — 16 citations into it
- Artificial Intelligence — 15 citations into it
- Signal Processing — 15 citations into it
Whom Vladimir A. Kazeev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan V. Oseledets
- Boris N. Khoromskij
- Lars Grasedyck
- Wolfgang Hackbusch
- E. E. Tyrtyshnikov
- Venera Khoromskaia
- Dmitry V. Savostyanov
- Heinz-Jürgen Flad
- Tamara G. Kolda
- Ivan P. Gavrilyuk
Who trusts Vladimir A. Kazeev overall
- Christine Tobler
- Sergey V. Dolgov
- Boris N. Khoromskij
- Lars Grasedyck
- Daniel Kressner
- V. Dolgov
- Dmitry V. Savostyanov
- Venera Khoromskaia
- Roman Andreev
- Christoph Schwab
Papers from Vladimir A. Kazeev's perspective
Ordered by how strongly the researchers Vladimir A. Kazeev trusts endorse each paper. Same corpus, a different order for every researcher.
- Tensor Decompositions and Applications
- f¨ur Mathematik in den Naturwissenschaften Leipzig Hierarchical Singular Value Decomposition of Tensors
- Some mathematical notes on three-mode factor analysis
- Breaking the Curse of Dimensionality
- A New Scheme for the Tensor Representation
- Tensors-structured Numerical Methods in Scientific Computing: Survey on Recent Advances
- Rank-One Approximation to High Order Tensors (SIAM Journal on Matrix Analysis and Applications)
- Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
- TT-cross approximation for multidimensional arrays
- Tensor approximations of matrices generated by asymptotically smooth functions
Their papers
- Multilevel Toeplitz Matrices Generated by Tensor-Structured Vectors and Convolution with Logarithmic Complexity (2013) — 100 citations
- Low-Rank Explicit QTT Representation of the Laplace Operator and Its Inverse (2012) — 146 citations
- Direct Solution of the Chemical Master Equation Using Quantized Tensor Trains (2014) — 177 citations
- Structure of the Hessian matrix and an economical implementation of Newton’s method in the problem of canonical approximation of tensors (2010) — 10 citations
- Low-rank tensor structure of linear diffusion operators in the TT and QTT formats☆ (2013) — 52 citations
- hp-DG-QTT solution of high-dimensional degenerate diffusion equations (2012) — 15 citations