Approximate algorithms for time separation of events

Supratik Chakraborty, D. Dill
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引用次数: 21

Abstract

We describe a polynomial-time approximate algorithm for computing minimum and maximum time separations between all pairs of events in systems specified by acyclic timing constraint graphs. Even for acyclic graphs, the problem is NP-complete. We propose finding an approximate solution by first approximating the non-convex feasible space with a suitable convex "envelope", and then solving the problem efficiently in the approximate convex space. Unlike previous works, our algorithm can handle both min and max type timing constraints in the same system, and has a computational complexity that is polynomial in the number of events. Although the computed separations are conservative in the worst-case, experiments indicate that our results are highly accurate in practice.
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事件时间分离的近似算法
我们描述了一种多项式时间近似算法,用于计算由非循环时序约束图指定的系统中所有事件对之间的最小和最大时间间隔。即使对于非循环图,这个问题也是np完全的。我们提出先用一个合适的凸包络来逼近非凸可行空间,然后在近似凸空间中高效地求解问题,从而求得近似解。与以前的工作不同,我们的算法可以在同一系统中处理最小和最大类型的时间约束,并且计算复杂度是事件数量的多项式。虽然在最坏情况下计算的分离是保守的,但实验表明,我们的结果在实践中是非常准确的。
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