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Algorithms for computing the sparsest shifts of polynomials via the Berlekamp/Massey algorithm

机译:通过Berlekamp / Massey算法计算多项式最稀疏移位的算法

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As a sub-procedure our algorithm executes the Berlekamp/Massey algorithm on a sequence of large integers or polynomials. We give a fraction-free version of the Berlekamp/Massey algorithm, which does not require rational numbers or functions and GCD operations on the arising numerators and denominators. The relationship between the solution of Toeplitz systems, Pade approximations, and the Euclidean algorithm is classical. Fraction-free versions [3] can be obtained from the subresultant PRS algorithm [2]. Dornstetter [6] gives an interpretation of the Berlekamp/Massey algorithm as a partial extended Euclidean algorithm. We map the subresultant PRS algorithm onto Dornstetter's formulation. We note that the Berlekamp/Massey algorithm is more efficient than the classical extended Euclidean algorithm.
机译:作为子过程,我们的算法对大整数或多项式序列执行Berlekamp / Massey算法。我们给出了Berlekamp / Massey算法的无分数版本,该算法不需要对出现的分子和分母进行有理数或函数和GCD运算。 Toeplitz系统的解,Pade逼近和欧几里得算法之间的关系是经典的。可以从次结果PRS算法[2]获得无分数版本[3]。 Dornstetter [6]将Berlekamp / Massey算法解释为部分扩展的欧几里得算法。我们将次结果PRS算法映射到Dornstetter的公式上。我们注意到,Berlekamp / Massey算法比经典的扩展​​欧几里得算法更有效。

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