Quicksort may be the most familiar and important randomised algorithm studied in computer science. It is well known that the expected number of comparisons on any input of n distinct keys is Θ(n ln n), and the probability of a large deviation above the expected value is very small. This probability was well estimated some time ago, with an ad-hoc proof: we shall revisit this result in the light of further work on concentration. © 2013 Springer-Verlag
AbstractIn this research note we investigate the number of moves and the displacement of particular ...
AbstractMultiple Quickselect is an algorithm that uses the idea of Quicksort to search for several o...
Abstract. This paper considers the problem of implementing and analyzing a Quicksort program when eq...
Quicksort may be the most familiar and important randomised algorithm studied in computer science. I...
International audienceWe revisit the analysis of the classical QuickSelect algorithm. Usually, the a...
International audienceWe revisit the classical QuickSort and QuickSelect algo-rithms, under a comple...
Abstract Quicksort was first introduced in 1961 by Hoare. Many variantshave been developed, the best...
The analyses of many algorithms and data structures (such as digital search trees) for searching and...
It is well-known that the performance of quicksort may substantially be improved by selecting the me...
I prove that the average number of comparisons for median-of-$k$ Quicksort (with fat-pivot a.k.a. th...
In this dissertation, we study in depth the limiting distribution of the costs of running the random...
Most previous studies of the sorting algorithm QuickSort have used the number of key comparisons as ...
We provide a smoothed analysis of Hoare's find algorithm, and we revisit the smoothed analysis of qu...
Abstract. We revisit the classical QuickSort and QuickSelect algo-rithms, under a complexity model t...
In a continuous-time setting, Fill (2012) proved, for a large class of probabilistic sources, that t...
AbstractIn this research note we investigate the number of moves and the displacement of particular ...
AbstractMultiple Quickselect is an algorithm that uses the idea of Quicksort to search for several o...
Abstract. This paper considers the problem of implementing and analyzing a Quicksort program when eq...
Quicksort may be the most familiar and important randomised algorithm studied in computer science. I...
International audienceWe revisit the analysis of the classical QuickSelect algorithm. Usually, the a...
International audienceWe revisit the classical QuickSort and QuickSelect algo-rithms, under a comple...
Abstract Quicksort was first introduced in 1961 by Hoare. Many variantshave been developed, the best...
The analyses of many algorithms and data structures (such as digital search trees) for searching and...
It is well-known that the performance of quicksort may substantially be improved by selecting the me...
I prove that the average number of comparisons for median-of-$k$ Quicksort (with fat-pivot a.k.a. th...
In this dissertation, we study in depth the limiting distribution of the costs of running the random...
Most previous studies of the sorting algorithm QuickSort have used the number of key comparisons as ...
We provide a smoothed analysis of Hoare's find algorithm, and we revisit the smoothed analysis of qu...
Abstract. We revisit the classical QuickSort and QuickSelect algo-rithms, under a complexity model t...
In a continuous-time setting, Fill (2012) proved, for a large class of probabilistic sources, that t...
AbstractIn this research note we investigate the number of moves and the displacement of particular ...
AbstractMultiple Quickselect is an algorithm that uses the idea of Quicksort to search for several o...
Abstract. This paper considers the problem of implementing and analyzing a Quicksort program when eq...