LLL的参数化版本及其结果:参数化最短和最近向量问题
A parametric version of LLL and some consequences: parametric shortest and closest vector problems
摘要:
给定一个参数格,其基由Z[t]中的多项式给出,我们给出了一个算法来构造一个LLL-约化基,其元素最终是t中的拟多项式:即,它们由t中的分段多项式公式给出(对于足够大的t),使得每一段由模周期的同余类给出。因此,我们证明了最短向量问题(SVP)和最近向量问题(CVP)的参数解最终也是t中的拟多项式。
英文摘要:
Given a parametric lattice with a basis given by polynomials in Z[t], we give an algorithm to construct an LLL-reduced basis whose elements are eventually quasi-polynomial in t: that is, they are given by formulas that are piecewise polynomial in t (for sufficiently large t), such that each piece is given by a congruence class modulo a period. As a consequence, we show that there are parametric solutions of the shortest vector problem (SVP) and closest vector problem (CVP) that are also eventually quasi-polynomial in t.
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