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Normalization of Indexed Differentials Based on Function Distance Invariants

机译:基于函数距离不变性的索引微分的归一化

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This paper puts forward the method of function distance invariant, and develops an efficient normalization algorithm for indexed differentials. The algorithm allows us to determine the equivalence of indexed differentials in R_2[∂], and is mainly based on two algorithms. One is an index replacement algorithm. The other is a normalization algorithm with respect to monoterm symmetries, whose complexity is lower than known algorithms.
机译:提出了函数距离不变的方法,并提出了一种有效的索引微分归一化算法。该算法使我们能够确定R_2 [∂]中的索引差分的等价性,并且该算法主要基于两种算法。一种是索引替换算法。另一个是针对单项对称性的归一化算法,其复杂度低于已知算法。

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