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Efficient Strong Sequentially Using Replacement Restrictions

机译:使用替换限制顺序高效

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Huet and Levy defined the (orthogonal) strongly sequential term rewriting systems, for which index reduction, i.e., reduction of re-dexes placed at special positions called (strong) indices, is optimal and normalizing. Despite the fact that Huet and Levy give an algorithm to compute indices for the general case, there are many proposals to define subclasses of strongly sequential rewrite systems for which this can be done more efficiently. In this paper, we show that sometimes it is possible to enlarge such classes by only introducing fixed replacement restrictions, without forcing any sensible modification of the corresponding index re-duction strategy.
机译:Huet和Levy定义了(正交)强的顺序术语重写系统,其中减少指数,即放置在称为(强)指数的特殊位置的重新德减少,是最佳的和标准化。尽管Huet和Levy提供了一种算法来计算常规案例的指标,但有许多建议可以定义强烈连续的重写系统的子类,这可以更有效地完成。在本文中,我们表明,有时可以通过仅引入固定的替换限制来扩大这些类,而无需强制对应索引重量策略的任何明智的修改。

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