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A probabilistic algorithm for computing minimum weights of large error-correcting codes

机译:一种计算大型纠错码最小权重的概率算法

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摘要

An algorithm is developed that can be used to find, with a very low probability of error (10/sup -100/ or less in many cases), the minimum weights of codes far too large to be treated by any known exact algorithm. The probabilistic method is used to find minimum weights of all extended quadratic residue codes of length 440 or less. The probabilistic algorithm is presented for binary codes, but it can be generalized to codes over GF(q) with q<2.
机译:开发了一种算法,该算法可用于以极低的错误概率(在许多情况下为10 / sup -100 /或更小)来查找太大的代码最小权重,以至于无法通过任何已知的精确算法处理。概率方法用于查找长度为440或更短的所有扩展二次残差代码的最小权重。概率算法是针对二进制代码提出的,但是可以推广到q <2的GF(q)上的代码。

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