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Accelerated Newton Iteration for Roots of Black Box Polynomials

机译:黑盒多项式根的加速牛顿迭代

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We study the problem of computing the largest root of a real rooted polynomial p(x) to within error 'z' given only black box access to it, i.e., for any x, the algorithm can query an oracle for the value of p(x), but the algorithm is not allowed access to the coefficients of p(x). A folklore result for this problem is that the largest root of a polynomial can be computed in O(n log (1/z)) polynomial queries using the Newton iteration. We give a simple algorithm that queries the oracle at only O(log n log(1/z)) points, where n is the degree of the polynomial. Our algorithm is based on a novel approach for accelerating the Newton method by using higher derivatives.
机译:我们研究了仅在黑箱访问权的情况下将实根多项式p(x)的最大根计算到误差'z'内的问题,即对于任何x,该算法都可以向oracle查询oracle的p( x),但不允许该算法访问p(x)的系数。此问题的民俗结果是,可以使用牛顿迭代在O(n log(1 / z))多项式查询中计算多项式的最大根。我们给出一种简单的算法,该算法仅在O(log n log(1 / z))点处查询oracle,其中n是多项式的次数。我们的算法基于一种新颖的方法,可通过使用更高的导数来加速牛顿法。

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