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Range Estimation Is NP-Hard for ε~2 Accuracy and Feasible for ε~(2-δ)

机译:对于ε〜2精度,范围估计为NP-Hard;对于ε〜(2-δ),范围估计为可行

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摘要

The basic problem of interval computations is: given a function f(x_1,...,x_n) and n intervals [x_i, (x~-)_i], find the (interval) range y of the given function on the given intervals. It is known that even for quadratic polynomials f(x_1, ...,x_n), this problem is NP-hard. In this paper, following the advice of A. Neumaier, we analyze the complexity of asymptotic range estimation, when the bound ε on the width of the input intervals tends to 0. We show that for small c > 0, if we want to compute the range with an accuracy c· ε~2, then the problem is still NP-hard; on the other hand, for every δ > 0, there exists a feasible algorithm which asymptotically, estimates the range with an accuracy c·ε~(2-δ).
机译:间隔计算的基本问题是:给定一个函数f(x_1,...,x_n)和n个间隔[x_i,(x〜-)_ i],在给定间隔上找到给定函数的(间隔)范围y 。众所周知,即使对于二次多项式f(x_1,...,x_n),此问题也是NP-难的。在本文中,按照A. Neumaier的建议,当输入区间宽度上的ε趋于0时,我们分析了渐近范围估计的复杂性。如果要计算,则表明对于小c> 0精度为c·ε〜2的范围,那么问题仍然是NP-难的。另一方面,对于每个δ> 0,都有一种可行的算法,可以渐近地估计出范围c,ε〜(2-δ)。

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