This is the first in a series of papers on rank decompositions of the matrix multiplication tensor. In this paper, we establish general facts about rank decompositions of tensors, describe potential ways to search for new matrix multiplication decompositions, give a geometric proof of the theorem of Burichenko establishing the symmetry group of Strassen’s algorithm, and present two particularly nice subfamilies in the Strassen family of decompositions
Invariance transformations of polyadic decompositions of matrix multiplication tensors define an equ...
In 1969, V. Strassen improves the classical~2x2 matrix multiplication algorithm. The current upper ...
AbstractWe present an algorithm for decomposing a symmetric tensor, of dimension n and order d, as a...
This is the first in a series of papers on rank decompositions of the matrix multiplication tensor. ...
This is the first in a series of papers on rank decompositions of the matrix multiplication tensor. ...
This is the first in a series of papers on rank decompositions of the matrix multiplication tensor. ...
This is the second in a series of papers on rank decompositions of the matrix multiplication tensor....
Matrix multiplication is commonly used in scientific computation. Given matrices A = (aij ) of size ...
This is the second in a series of papers on rank decompositions of the matrix multiplication tensor....
Hitchcock's rank decompositon---also known as the CANDECOMP/PARAFAC tensor decomposition---may be co...
In this thesis, we tackle the problem of matrix multiplication complexity. Matrix multiplication, wh...
A tensor is a multi-dimensional data array, occurring ubiquitously in mathematics, physics, engineer...
textabstractWe show that the border support rank of the tensor corresponding to two-by-two matrix m...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
In this article, I will first give a criterion for a generic m × n × n tensor to have rank n using s...
Invariance transformations of polyadic decompositions of matrix multiplication tensors define an equ...
In 1969, V. Strassen improves the classical~2x2 matrix multiplication algorithm. The current upper ...
AbstractWe present an algorithm for decomposing a symmetric tensor, of dimension n and order d, as a...
This is the first in a series of papers on rank decompositions of the matrix multiplication tensor. ...
This is the first in a series of papers on rank decompositions of the matrix multiplication tensor. ...
This is the first in a series of papers on rank decompositions of the matrix multiplication tensor. ...
This is the second in a series of papers on rank decompositions of the matrix multiplication tensor....
Matrix multiplication is commonly used in scientific computation. Given matrices A = (aij ) of size ...
This is the second in a series of papers on rank decompositions of the matrix multiplication tensor....
Hitchcock's rank decompositon---also known as the CANDECOMP/PARAFAC tensor decomposition---may be co...
In this thesis, we tackle the problem of matrix multiplication complexity. Matrix multiplication, wh...
A tensor is a multi-dimensional data array, occurring ubiquitously in mathematics, physics, engineer...
textabstractWe show that the border support rank of the tensor corresponding to two-by-two matrix m...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
In this article, I will first give a criterion for a generic m × n × n tensor to have rank n using s...
Invariance transformations of polyadic decompositions of matrix multiplication tensors define an equ...
In 1969, V. Strassen improves the classical~2x2 matrix multiplication algorithm. The current upper ...
AbstractWe present an algorithm for decomposing a symmetric tensor, of dimension n and order d, as a...