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The shuffling buffer

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Olivier Devillers


The complexity of randomized incremental algorithms is analyzed with the assumption of a random order of the input. To guarantee this hypothesis, the n data have to be known in advance in order to be mixed what contradicts with the on-line nature of the algorithm. We present the shuffling buffer technique to introduce sufficient randomness to guarantee an improvement on the worst case complexity by knowing only k data in advance. Typically, an algorithm with O(n2) worst-case complexity and O(n) or O(nlog n) randomized complexity has an O(n2 (log k)/k)complexity for the shuffling buffer. We illustrate this with binary search trees, the number of Delaunay triangles or the number of trapezoids in a trapezoidal map created during an incremental construction.
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hal-01179052 , version 1 (21-07-2015)


  • HAL Id : hal-01179052 , version 1


Olivier Devillers, Philippe Guigue. The shuffling buffer. 13th Canadian Conference on Computational Geometry, 2001, Waterloo, Canada. ⟨hal-01179052⟩


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