This paper suggests an isomorphism detecting algorithm based on equivalent class, which improves the efficiency of context isomorphism detection.

本文提出的基于等价类法的形式背景同构判定算法，有效地提高了同构判定的效率。

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For the subclasses MAX and MARG of minimal unsatisfiable formulas, we show that the variable and literal renaming problems are equivalent to the graph isomorphism problem GI.

对于极小不可满足公式的子类MAX和MARG，我们证明了：其变元改名和文字改名的复杂性等价于图同构问题GI。

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This paper also proposes the qualities of adjacency matrix, derives the theorem of the relations between isomorphism and equivalent adjacency matrix.

提出关联矩阵的性质，推导出同型机构和等价关联矩阵关系的定理。

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