Abstract. In this paper we introduce several new heuristics as to speed up known lattice basis reduction methods and improve the quality of the computed reduced lattice basis in practice. We analyze substantial experimental data and to our knowledge, we are the rst to present a general heuristic for determining which variant of the reduction algo-rithm, for varied parameter choices, yields the most ecient reduction strategy for reducing a particular problem instance.
We present a novel practical algorithm that given a lattice basis b1, ..., bn finds in O(n exp 2 *(k...
Lattice reduction algorithms are notoriously hard to predict, both in terms of running time and outp...
This thesis investigates a new approach to lattice basis reduction suggested by M. Seysen. Seysen'...
Lattice reduction algorithms are notoriously hard to predict, both in terms of running time and outp...
AbstractTwo new lattice reduction algorithms are presented and analyzed. These algorithms, called th...
In this paper, we give a definition of an optimally reduced basis for a lattice in the sense that an...
International audienceLattice reduction algorithms have surprisingly many applications in mathematic...
Fastest algorithms and implementations for LLL basis reduction are highly hybrid symbolic-numeric. A...
We report on improved practical algorithms for lattice basis reduction. We propose a practical float...
In 2003, Schnorr presented a novel lattice basis reduction method named Random Sampling Reduction (R...
The LLL algorithm is recognized as one of the most important achievements of twentieth century with ...
Abstract. Despite their popularity, lattice reduction algorithms remain mysterious cryptanalytical t...
Most algorithms for hard lattice problems are based on the principle of rank reduction: to solve a p...
Lattice reduction has a wide range of applications. In this paper, we first present a polynomial tim...
The general behaviour of lattice reduction algorithms is far from being well understood. Indeed, man...
We present a novel practical algorithm that given a lattice basis b1, ..., bn finds in O(n exp 2 *(k...
Lattice reduction algorithms are notoriously hard to predict, both in terms of running time and outp...
This thesis investigates a new approach to lattice basis reduction suggested by M. Seysen. Seysen'...
Lattice reduction algorithms are notoriously hard to predict, both in terms of running time and outp...
AbstractTwo new lattice reduction algorithms are presented and analyzed. These algorithms, called th...
In this paper, we give a definition of an optimally reduced basis for a lattice in the sense that an...
International audienceLattice reduction algorithms have surprisingly many applications in mathematic...
Fastest algorithms and implementations for LLL basis reduction are highly hybrid symbolic-numeric. A...
We report on improved practical algorithms for lattice basis reduction. We propose a practical float...
In 2003, Schnorr presented a novel lattice basis reduction method named Random Sampling Reduction (R...
The LLL algorithm is recognized as one of the most important achievements of twentieth century with ...
Abstract. Despite their popularity, lattice reduction algorithms remain mysterious cryptanalytical t...
Most algorithms for hard lattice problems are based on the principle of rank reduction: to solve a p...
Lattice reduction has a wide range of applications. In this paper, we first present a polynomial tim...
The general behaviour of lattice reduction algorithms is far from being well understood. Indeed, man...
We present a novel practical algorithm that given a lattice basis b1, ..., bn finds in O(n exp 2 *(k...
Lattice reduction algorithms are notoriously hard to predict, both in terms of running time and outp...
This thesis investigates a new approach to lattice basis reduction suggested by M. Seysen. Seysen'...