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A new Lenstra-type algorithm for quasiconvex polynomial integer minimization with complexity _2O(n log n)

机译:复杂度为_2O(n log n)的拟凸多项式整数最小化的新Lenstra型算法

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摘要

We study the integer minimization of a quasiconvex polynomial with quasiconvex polynomial constraints. We propose a new algorithm that is an improvement upon the best known algorithm due to Heinz [S. Heinz, Complexity of integer quasiconvex polynomial optimization, Journal of Complexity 21(4) (2005) 543-556]. This improvement is achieved by applying a new modern Lenstra-type algorithm, finding optimal ellipsoid roundings, and considering sparse encodings of polynomials. For the bounded case, our algorithm attains a time-complexity of s(rlMd) ~(O(1))2~2nlog_2(n)+O(n) when M is a bound on the number of monomials in each polynomial and r is the binary encoding length of a bound on the feasible region. In the general case, sl ~(O(1))d~(O(n))2~2nlog_2(n)+O(n). In each we assume d≥2 is a bound on the total degree of the polynomials and l bounds the maximum binary encoding size of the input.
机译:我们研究了具有拟凸多项式约束的拟凸多项式的整数最小化。我们提出了一种新算法,该算法是对因亨氏[S. Heinz,整数拟凸多项式优化的复杂度,Journal of Complexity 21(4)(2005)543-556]。通过应用新的现代Lenstra型算法,找到最佳椭球舍入并考虑多项式的稀疏编码,可以实现这一改进。对于有界情况,当M是每个多项式和r的单项式数的有界时,我们的算法获得s(rlMd)〜(O(1))2〜2nlog_2(n)+ O(n)的时间复杂度是可行区域上边界的二进制编码长度。在一般情况下,sl〜(O(1))d〜(O(n))2〜2nlog_2(n)+ O(n)。在每种情况下,我们假设d≥2是多项式总和的界,而l则约束输入的最大二进制编码大小。

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