Nick Vannieuwenhoven
Computational Mathematics · 2012–2015
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Mathematics — 32 citations into it
- Computational Theory and Mathematics — 20 citations into it
- Signal Processing — 12 citations into it
- Computational Mechanics — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Geometry and Topology — 7 citations into it
- Numerical Methods & Scientific Computing — 7 citations into it
Whom Nick Vannieuwenhoven trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan V. Oseledets
- Lars Grasedyck
- Mark Coppejans
- Wolfgang Hackbusch
- M. Alex O. Vasilescu
- Tamara G. Kolda
- Berkant Savas
- Eleftherios Kofidis
- Mariya Ishteva
- Martin Haardt
Papers from Nick Vannieuwenhoven's perspective
Ordered by how strongly the researchers Nick Vannieuwenhoven trusts endorse each paper. Same corpus, a different order for every researcher.
- Tensor Decompositions and Applications
- Rank-One Approximation to High Order Tensors (SIAM Journal on Matrix Analysis and Applications)
- Matrix Computations
- Symmetric Tensors and Symmetric Tensor Rank (SIAM Journal on Matrix Analysis and Applications)
- A Multilinear Singular Value Decomposition
- Some mathematical notes on three-mode factor analysis
- On the Best Rank-1 Approximation of Higher-Order Supersymmetric Tensors
- On the uniqueness of multilinear decomposition of N‐way arrays
- f¨ur Mathematik in den Naturwissenschaften Leipzig Hierarchical Singular Value Decomposition of Tensors
- Multilinear image analysis for facial recognition (Object recognition supported by user interaction for service robots)
Their papers
- On generic identifiability of symmetric tensors of subgeneric rank (2015) — 97 citations
- A New Truncation Strategy for the Higher-Order Singular Value Decomposition (2012) — 304 citations