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On Fast Division Algorithm for Polynomials Using Newton Iteration

机译:牛顿迭代法的多项式快速除法算法

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The classical division algorithm for polynomials requires O(n~2) operations for inputs of size n. Using reversal technique and Newton iteration, it can be improved to O(M(n)), where M is a multiplication time. But the method requires that the degree of the modulo, x~l, should be the power of 2. If l is not a power of 2 and f(0) = 1, Gathen and Gerhard suggest to compute the inverse, f~(-1), modulo x~([l/2~r]), x~([l/2~(r-1)]) ,..., x~([l/2]), x~l, separately. But they did not specify the iterative step. In this paper, we show that the original Newton iteration formula can be directly used to compute f~(-1) mod x~l without any additional cost, when l is not a power of 2.
机译:多项式的经典除法算法对于大小为n的输入要求O(n〜2)运算。使用逆向技术和牛顿迭代,可以将其改进为O(M(n)),其中M为乘法时间。但是该方法要求模的度数x〜l应该是2的幂。如果l不是2的幂,并且f(0)= 1,Gathen和Gerhard建议计算逆f〜( -1),x〜([l / 2〜r]),x〜([l / 2〜(r-1)]),...,x〜([l / 2]),x〜l , 分别地。但是他们没有指定迭代步骤。在本文中,我们证明了当l不是2的幂时,原始的Newton迭代公式可以直接用于计算f〜(-1)mod x〜l,而无需任何额外成本。

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