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MXL2: Solving Polynomial Equations over GF (2) Using an Improved Mutant Strategy

机译:MXL2:使用改进的突变策略求解GF(2)上的多项式方程

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MutantXL is an algorithm for solving systems of polynomial equations that was proposed at SCC 2008. This paper proposes two substantial improvements to this algorithm over GF (2) that result in significantly reduced memory usage. We present experimental results comparing MXL2 to the XL algorithm, the MutantXL algorithm and Magma's implementation of F{sub}4. For this comparison we have chosen small, randomly generated instances of the MQ problem and quadratic systems derived from HFE instances. In both cases, the largest matrices produced by MXL2 are substantially smaller than the ones produced by MutantXL and XL. Moreover, for a significant number of cases we even see a reduction of the size of the largest matrix when we compare MXL2 against Magma's F{sub}4 implementation.
机译:MutantXL是一种求解SCC 2008所提出的多项式方程系统的算法。本文提出了在GF(2)上的两个算法的大量改进,从而导致内存使用显着降低。我们将实验结果呈现比较MXL2到XL算法,MutantXL算法和Magma的F ​​{Sub} 4的实现。对于此比较,我们选择了MQ问题的小型随机生成的实例和从HFE实例导出的二次系统。在这两种情况下,MXL2产生的最大基质基本上小于由MutantX1和XL产生的基质。此外,对于大量情况,我们甚至在比较MXL2对Magma的F ​​{Sub} 4实施时,我们甚至看到最大矩阵的大小的减小。

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