We present a non-commutative algorithm for the multiplication of a block-matrix by its transpose over C or any finite field using 5 recursive products. We use geometric considerations on the space of bilinear forms describing 2×2 matrix products to obtain this algorithm and we show how to reduce the number of involved additions. The resulting algorithm for arbitrary dimensions is a reduction of multiplication of a matrix by its transpose to general matrix product, improving by a constant factor previously known reductions. Finally we propose space and time efficient schedules that enable us to provide fast practical implementations for higher-dimensional matrix products
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
AbstractIn this paper we will show that Strassen's algorithm for the computation of the product of 2...
AbstractStarting from the Strassen method for rapid matrix multiplication and inversion as well as f...
International audienceWe present a non-commutative algorithm for the multiplication of a 2x2-block-m...
We present a non-commutative algorithm for the multiplication of a 2 × 2 block-matrix by its adjoint...
Depuis 1960 et le résultat fondateur de Karatsuba, on sait que la complexité de la multiplication (d...
Since 1960 and the result of Karatsuba, we know that the complexity of the multiplication (of intege...
AbstractWe prove a lower bound of 2mn+2n−m−2 for the bilinear complexity of the multiplication of n×...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
International audienceBini–Capovani–Lotti–Romani approximate formula (or border rank) for matrix mul...
AbstractThe complexity of matrix multiplication has attracted a lot of attention in the last forty y...
Matrix multiplication is commonly used in scientific computation. Given matrices A = (aij ) of size ...
AbstractWe give a constant α > 0.294 and, for any ε > 0, an algorithm for multiplying anN×Nmatrix by...
AbstractThis paper develops optimal algorithms to multiply an n × n symmetric tridiagonal matrix by:...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
AbstractIn this paper we will show that Strassen's algorithm for the computation of the product of 2...
AbstractStarting from the Strassen method for rapid matrix multiplication and inversion as well as f...
International audienceWe present a non-commutative algorithm for the multiplication of a 2x2-block-m...
We present a non-commutative algorithm for the multiplication of a 2 × 2 block-matrix by its adjoint...
Depuis 1960 et le résultat fondateur de Karatsuba, on sait que la complexité de la multiplication (d...
Since 1960 and the result of Karatsuba, we know that the complexity of the multiplication (of intege...
AbstractWe prove a lower bound of 2mn+2n−m−2 for the bilinear complexity of the multiplication of n×...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
International audienceBini–Capovani–Lotti–Romani approximate formula (or border rank) for matrix mul...
AbstractThe complexity of matrix multiplication has attracted a lot of attention in the last forty y...
Matrix multiplication is commonly used in scientific computation. Given matrices A = (aij ) of size ...
AbstractWe give a constant α > 0.294 and, for any ε > 0, an algorithm for multiplying anN×Nmatrix by...
AbstractThis paper develops optimal algorithms to multiply an n × n symmetric tridiagonal matrix by:...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
AbstractIn this paper we will show that Strassen's algorithm for the computation of the product of 2...
AbstractStarting from the Strassen method for rapid matrix multiplication and inversion as well as f...