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Propagating Differences: An Efficient new Fixpoint Algorithm For Distributive Constraint Systems

机译:传播差异:分布式约束系统的高效新定点算法

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Integrating semi-naive fixpoint iteration from deductive data bases [3,2,4] as well as continuations into worklist-based solvers, wer derive a new application independent local fixpoint algorithm for distributive constraint systems. Seemingly different defficient algorithms for abstract interpretation like those for linear ocnstant propagation for imperative languages [17] as well as for control-flow analysis for functional languages [13] turn out to be instances of our scheme. Besides this systematizing contribution we also derive a new efficient algorithm for abstract OLDT-resolution as considered in [15,16,25] for prolog.
机译:从演绎数据库[3,2,4]集成半天固定点迭代,并将其继续集成到基于工作列表的求解器中,就可以得出一种新的与应用程序无关的局部固定点算法,用于分布式约束系统。看似不同的用于抽象解释的低效率算法,例如用于命令性语言的线性线性传播[17]以及用于功能语言的控制流分析的算法[13],都证明是我们方案的实例。除了这种系统化的贡献,我们还为抽象OLDT分辨率推导了一种新的高效算法,如序言[15,16,25]所述。

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