AbstractThe approximate evaluation with a given precision of matrix and polynomial products is performed using modular arithmetic. The resulting algorithms are numerically stable. At the same time they are as fast as or faster than the algorithms with arithmetic operations over real or complex numbers
Depuis 1960 et le résultat fondateur de Karatsuba, on sait que la complexité de la multiplication (d...
AbstractThe aim of this work is to decrease the bit precision required in computations without affec...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThe approximate evaluation with a given precision of matrix and polynomial products is perfo...
AbstractThe numbers of bit operations (bt) required for matrix multiplication (MM), matrix inversion...
AbstractAn N × N matrix product can be evaluated with precision E > 0 in O(Ns+ϵ log (M/E) log log (M...
To appear in Mathematics of Computation.International audienceWe analyse and compare the complexity ...
Since 1960 and the result of Karatsuba, we know that the complexity of the multiplication (of intege...
We review the complexity of polynomial and matrix computations, as well as their various correlation...
AbstractWe estimate parallel complexity of several matrix computations under both Boolean and arithm...
AbstractWe present algorithms to perform modular polynomial multiplication or a modular dot product ...
To appear in Mathematics of Computation.International audienceWe analyse the complexity of computing...
Four problems are considered: 1) from an n-precision integer compute its residues modulo n single pr...
This "habilitation à diriger des recherches" manuscript concerns the efficiency in exact linear alge...
AbstractOur new sequential and parallel algorithms establish new record upper bounds on both arithme...
Depuis 1960 et le résultat fondateur de Karatsuba, on sait que la complexité de la multiplication (d...
AbstractThe aim of this work is to decrease the bit precision required in computations without affec...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThe approximate evaluation with a given precision of matrix and polynomial products is perfo...
AbstractThe numbers of bit operations (bt) required for matrix multiplication (MM), matrix inversion...
AbstractAn N × N matrix product can be evaluated with precision E > 0 in O(Ns+ϵ log (M/E) log log (M...
To appear in Mathematics of Computation.International audienceWe analyse and compare the complexity ...
Since 1960 and the result of Karatsuba, we know that the complexity of the multiplication (of intege...
We review the complexity of polynomial and matrix computations, as well as their various correlation...
AbstractWe estimate parallel complexity of several matrix computations under both Boolean and arithm...
AbstractWe present algorithms to perform modular polynomial multiplication or a modular dot product ...
To appear in Mathematics of Computation.International audienceWe analyse the complexity of computing...
Four problems are considered: 1) from an n-precision integer compute its residues modulo n single pr...
This "habilitation à diriger des recherches" manuscript concerns the efficiency in exact linear alge...
AbstractOur new sequential and parallel algorithms establish new record upper bounds on both arithme...
Depuis 1960 et le résultat fondateur de Karatsuba, on sait que la complexité de la multiplication (d...
AbstractThe aim of this work is to decrease the bit precision required in computations without affec...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...