AbstractWe propose a method of solving large sparse systems of linear equations over GF(2), the field with two elements. We use the Lanczos algorithm, modified in two ways. A lookahead Lanczos algorithm is needed for the problem of dividing by an inner product whose value happens to be 0. A block version of the algorithm allows us to perform 32 matrix-vector operations for the cost of one. The resulting algorithm is competitive with structured Gaussian elimination in terms of time, and has much lower space requirements. It may be useful in the last stage of integer factorization
The Lanczos algorithm has proven itself to be a valuable matrix eigensolver for problems with large ...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
In this article, we propose a method to perform linear algebra on a matrix with nearly sparse proper...
International audienceThe block Lanczos algorithm proposed by Peter Montgomery is an efficient means...
Among the iterative methods for solving large linear systems with a sparse (or, possibly, structured...
AbstractInteger factorization is known to be one of the most important and useful methods in number ...
International audienceThis paper considers elimination algorithms for sparse matrices over finite fi...
Large systems of linear equations over $mathbb{F_2$ with sparse coefficient matrices have to be solv...
A critical step when factoring large integers by the Number Field Sieve consists of finding dependen...
International audienceIn this paper we describe how the half-gcd algorithm can be adapted in order t...
We propose a new algorithm to solve sparse linear systems of equations over the integers. This algor...
AbstractWe present a new variant of the block Lanczos algorithm for finding vectors in the kernel of...
In this paper, we investigate the block Lanczos algorithm for solving large sparse symmetric linear ...
International audienceIn Fall 2009, the final step of the factorization of rsa768 was carried out on...
Cryptographic computations such as factoring integers and computing discrete logarithms require solv...
The Lanczos algorithm has proven itself to be a valuable matrix eigensolver for problems with large ...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
In this article, we propose a method to perform linear algebra on a matrix with nearly sparse proper...
International audienceThe block Lanczos algorithm proposed by Peter Montgomery is an efficient means...
Among the iterative methods for solving large linear systems with a sparse (or, possibly, structured...
AbstractInteger factorization is known to be one of the most important and useful methods in number ...
International audienceThis paper considers elimination algorithms for sparse matrices over finite fi...
Large systems of linear equations over $mathbb{F_2$ with sparse coefficient matrices have to be solv...
A critical step when factoring large integers by the Number Field Sieve consists of finding dependen...
International audienceIn this paper we describe how the half-gcd algorithm can be adapted in order t...
We propose a new algorithm to solve sparse linear systems of equations over the integers. This algor...
AbstractWe present a new variant of the block Lanczos algorithm for finding vectors in the kernel of...
In this paper, we investigate the block Lanczos algorithm for solving large sparse symmetric linear ...
International audienceIn Fall 2009, the final step of the factorization of rsa768 was carried out on...
Cryptographic computations such as factoring integers and computing discrete logarithms require solv...
The Lanczos algorithm has proven itself to be a valuable matrix eigensolver for problems with large ...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
In this article, we propose a method to perform linear algebra on a matrix with nearly sparse proper...