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A Descartes Algorithm for Polynomials with Bit-Stream Coefficients

机译:具有比特流系数的多项式的笛卡尔算法

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摘要

The Descartes method is an algorithm for isolating the real roots of square-free polynomials with real coefficients. We assume that coefficients are given as (potentially infinite) bit-streams. In other words, coefficients can be approximated to any desired accuracy, but are not known exactly. We show that a variant of the Descartes algorithm can cope with bit-stream coefficients. To isolate the real roots of a square-free real polynomial q(x) = q_nx~n + ... + q_0 with root separation ρ, coefficients |q_n| ≥ 1 and |q_i| ≤ 2~τ, it needs coefficient approximations to O(n(log(1/ρ) + τ)) bits after the binary point and has an expected cost of 0(n~4(log(1/ρ) + τ)~2) bit operations.
机译:笛卡尔方法是一种用实系数隔离无平方多项式的实根的算法。我们假设系数以(可能是无限的)比特流形式给出。换句话说,系数可以近似于任何期望的精度,但是并不清楚。我们表明,笛卡尔算法的一种变体可以应付比特流系数。为了用平方根间距ρ隔离无平方实多项式q(x)= q_nx〜n + ... + q_0的实根,系数| q_n | ≥1并且| q_i | ≤2〜τ,需要二进制点后的O(n(log(1 /ρ)+τ))位的系数近似值,预期成本为0(n〜4(log(1 /ρ)+τ) 〜2)位操作。

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