In this paper, a modied version of LLL algorithm, which is a an algorithm with output-sensitivecomplexity, is presented to convert a given Grobner basis with respect to a specic order of a polynomialideal I in arbitrary dimensions to a Grobner basis of I with respect to another term order.Also a comparison with the FGLM conversion and Buchberger method is considered.

In this paper, we give a definition of an optimally reduced basis for a lattice in the sense that an optimally reduced basis is a shortest basis for the lattice. Then we present an algorithm for computing an approximation of an optimally reduced basis for a lattice using a novel unimodular transformation. To compare lattice bases, we propose a quantitative measure of the degree of the linear in...

We prove that if a lattice basis is nearly orthogonal (the angle between any basis vector and the linear subspace spanned by the other basis vectors is at least π3 radians), then a KZ-reduced basis can be obtained from it in polynomial time. We also show that if a nearly orthogonal lattice basis has nearly equal vector lengths (within a certain constant factor of one another), then the basis is...

This article presets a review of lattice lattice basis reduction types. Paper contains the main five types of lattice basis reduction: size reduced (weak Hermit), c-reduced, Lovasz condition, Hermit-Korkin-Zolotarev, Minkowski reduced. The article provides references to applications in: information theory (decoding of coding group in MIMO), calculus (minimize of the positive quadratic form), co...

In this paper, three practical lattice basis reduction algorithms are presented. The first algorithm constructs a Hermite, Korkine and Zolotareff (HKZ) reduced lattice basis, in which a unimodular transformation is used for basis expansion. Our complexity analysis shows that our algorithm is significantly more efficient than the existing HKZ reduction algorithms. The second algorithm computes a...

The algorithm of Lenstra, Lenstra, and Lovász (LLL) transforms a given integer lattice basis into a reduced basis. Storjohann improved the worst case complexity of LLL algorithms by a factor of O(n) using modular arithmetic. Koy and Schnorr developed a segment-LLL basis reduction algorithm that generates lattice basis satisfying a weaker condition than the LLL reduced basis with O(n) improvemen...

In this paper, we propose a new generic reduction framework BoostReduce for strong lattice basis reduction. At the core of our new framework is an iterative method which uses a newly-developed algorithm for finding short lattice vectors and integrating them efficiently into an improved lattice basis. We present BoostBKZ as an instance of BoostReduce using the Block-Korkine-Zolotarev (BKZ) reduc...

We introduce algorithms for lattice basis reduction that are improvements of the famous L 3-algorithm. If a random L 3 {reduced lattice basis b1; : : : ; bn is given such that the vector of reduced Gram{ Schmidt coeecients (fi;jg 1 j < i n) is uniformly distributed in 0; 1) (n 2) , then the pruned enumeration nds with positive probability a shortest lattice vector. We demonstrate the power of t...