Tensors and Hypermatrices
By Lek-Heng Lim. 2013
126 citations recorded by the source corpus.
Subfields: Computational Mathematics, Computational Theory and Mathematics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/283219fcf3fabf9100e1ddc8676d7ed9939d4b96
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
- Shuchin Aeron
- Misha Elena Kilmer
- Christopher J. Hillar
- Lek-Heng Lim
- Eric Kernfeld
- Liqun Qi
- Boris N. Khoromskij
- André Uschmajew
In Computational Theory and Mathematics
- Shuchin Aeron
- Christopher J. Hillar
- Misha Elena Kilmer
- Lek-Heng Lim
- Eric Kernfeld
- Liqun Qi
- Boris N. Khoromskij
- André Uschmajew
In Signal Processing
- Christopher J. Hillar
- Misha Elena Kilmer
- Lek-Heng Lim
- Shuchin Aeron
- Eric Kernfeld
- Liqun Qi
- Shmuel Friedland
- Guanglu Zhou
Citations in the corpus
- Most Tensor Problems Are NP-Hard (2009, background): “9The hyperdeterminants discussed earlier in Section 3 are then called geometric hyperdeterminants for distinction [Lim 2013]; these are denoted Det.”
- Hodge Laplacians on graphs (2015, unknown): “and L∧(T ) as an m-dimensional subspace of skew-symmetric hypermatrices [48] { [φijk] p i,j,k=1 ∈ R p×p×p : φijk = φjki = φkij = −φjik = −φikj = −φkji, φijk = 0 whenever {i, j, k} 6∈ T } .”
- Tensor-Tensor Products with Invertible Linear Transforms (2015, background): “× × ∈ × × The structure imposed on C m × ` × n by our cosine product is different from the usual interpretation as a way of representing elements of tensor products of complex vector spaces [22].”