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On the efficiency of solving Boolean polynomial systems with the characteristic set method

机译:论具有特征集方法的求解布尔多项式系统的效率

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An improved characteristic set algorithm for solving Boolean polynomial systems is proposed. This algorithm is based on the idea of converting all the polynomials into monic ones by zero decomposition, and using additions to obtain pseudo-remainders. Three important techniques are applied in the algorithm. The first one is eliminating variables by new generated linear polynomials. The second one is optimizing the strategy of choosing polynomial for zero decomposition. The third one is to compute add-remainders to eliminate the leading variable of new generated monic polynomials. By analyzing the depth of the zero decomposition tree, we present some complexity bounds of this algorithm, which are lower than the complexity bounds of previous characteristic set algorithms. Extensive experimental results show that this new algorithm is more efficient than previous characteristic set algorithms for solving Boolean polynomial systems. (C) 2019 Elsevier Ltd. All rights reserved.
机译:提出了一种改进的求解布尔多项式系统的特征集算法。该算法基于通过零分解将所有多项式转换为蒙管中的思想,并使用添加以获得伪余量。算法应用了三种重要的技术。第一个是通过新生成的线性多项式消除变量。第二个是优化选择多项式的零分解的策略。第三个是计算添加剩余者,以消除新生成的Monic多项式的领先变量。通过分析零分解树的深度,我们呈现了这种算法的一些复杂性界限,其低于先前特征集算法的复杂性界限。广泛的实验结果表明,这种新算法比以前的特征集算法更有效,用于解决布尔多选系统。 (c)2019 Elsevier Ltd.保留所有权利。

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