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arXiv math/0106225math.NAcs.NAmath.AG

关于在稀疏多项式时间内求解区间上的少项式

On Solving Fewnomials Over Intervals in Fewnomial Time

J. Maurice Rojas, Yinyu Ye

AI总结:

针对三项式(m=3)的实单变量多项式,提出在区间上以近最优对数复杂度逼近根并计数的方法,并讨论推广条件及与 Smale 第 17 问题实模拟的联系。

摘要:

设 f 是一个次数为 D、实系数且恰好包含 m 个单项式的单变量多项式。我们证明,在特殊情形 m=3 下,仅使用 O(log(D)log(Dlog(R/eps))) 次算术运算,即可在区间 [0,R] 内以 eps 精度逼近 f 的所有根。特别地,仅使用 O(log^2 D) 次算术运算,即可计算任意有界区间内的根的个数。我们的加速效果显著且近乎最优:此前这两个问题在渐近意义上最紧的复杂度上界均为关于 D 的超线性,而我们的算法复杂度接近各自相应的复杂度下界。我们还讨论了将算法推广到一般 m 的条件,以及其与 Smale 第 17 问题实模拟的联系。

英文摘要:

Let f be a degree D univariate polynomial with real coefficients and exactly m monomial terms. We show that in the special case m=3 we can approximate within eps all the roots of f in the interval [0,R] using just O(log(D)log(Dlog(R/eps))) arithmetic operations. In particular, we can count the number of roots in any bounded interval using just O(log^2 D) arithmetic operations. Our speed-ups are significant and near-optimal: The asymptotically sharpest previous complexity upper bounds for both problems were super-linear in D, while our algorithm has complexity close to the respective complexity lower bounds. We also discuss conditions under which our algorithms can be extended to general m, and a connection to a real analogue of Smale's 17th Problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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