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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缺陷算法

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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:Descartes方法是一种用真实系数隔离无边形多项式的真实根部的算法。我们假设系数被给出(潜在的无限)比特流。换句话说,系数可以近似于任何所需的精度,而是完全知道。我们表明Descartes算法的变体可以应对比特流系数。分离无方形实际多项式q(x)= q_nx〜n + ... + q_0带根分离ρ,系数的真实根部| q_n | ≥1和| Q_I | ≤2〜τ,它需要在二进制点之后的o(n(log(1 /ρ)+τ)的系数近似,并且具有0的预期成本0(n〜4(log(1 /ρ)+τ) 〜2)位操作。

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