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首页> 外文期刊>Electronic Colloquium on Computational Complexity >Generating Hard Instances of Lattice Problems
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Generating Hard Instances of Lattice Problems

机译:生成晶格问题的硬实例

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We give a random class of n dimensional lattices so that, ifthere is a probabilistic polynomial time algorithm which finds a shortvector in a random lattice with a probability of at least 1/2then there is also a probabilistic polynomial time algorithm whichsolves the following three lattice problems in every n dimensionallattice with a probability exponentially close to one. (1) Find thelength of a shortest nonzero vector in an n-dimensional lattice,approximately, up to a polynomial factor. (2) Find the shortest nonzerovector in an n-dimensional lattice L where the shortest vectoris unique in the sense that any other vector whose length is onlya polynomial times longer, is parallel to it. (3) Find a basis in thelattice L whose length is the smallest possible up to a polynomialfactor, where the length of a basis is the maximum of the lengthsof its elements.
机译:我们给出n维晶格的一个随机类,这样,如果有一个概率多项式时间算法在一个随机晶格中找到一个短向量的概率至少为1/2,那么还有一个概率多项式时间算法可以解决以下三个晶格问题在每个n维晶格中,概率以指数方式接近1。 (1)找出n维晶格中最短的非零向量的长度,大约不超过多项式因数。 (2)在n维点阵L中找到最短的非零向量,在这种意义上,最短向量是唯一的,这是因为其长度仅为多项式倍数的其他向量与之平行。 (3)在晶格L中找到一个基数,该基数的长度是可能的最小的多项式因子,其中基数的长度是其元素长度的最大值。

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