We provide complete average-case as well as probabilistic analysis of the cost of bucket selection and sorting algorithms. Two variations of bucketing (and flavors there in) are considered: distributive bucketing (large number of buckets) and radix bucketing (recursive with a small number of buckets, suitable for digital computation). For Distributive Selection a compound Poisson limit is established. For all other flavors of bucket selection and sorting, central limit theorems underlying the cost are derived by asymptotic techniques involving perturbation of Rice's integral and contour integration (saddle point methods). In the case of radix bucketing, periodic luctuations appear in the moments of both the selection and sorting algorithms
This paper presents a method for obtaining the expected number of data movements executed by the wel...
When using a greedy algorithm for finding a model, as is the case in many data mining algorithms, th...
© 2013, © 2013 Taylor & Francis. We found an interesting relation between convex optimization and so...
: We provide complete average-case as well as probabilistic analysis of the cost of bucket selection...
We present a selection algorithm called BucketSelect which runs faster than Floyd-Rivest\u27s Select...
Bucket sort and RADIX sort are two well-known integer sorting al-gorithms. This paper measures empir...
This paper presents the first distributional analysis of both, a parking problem and a linear probin...
This thesis covers the analysis of radix sort, radix select and the path length of digital trees und...
This paper presents the first distributional analysis of a linear probing hashing scheme with bucket...
AbstractConsider n independent uniform (0, 1) random variables, and let N1, …, Nn be the cardinaliti...
AbstractWe introduce the bucket recursive tree, a generalization of recursive trees. The tree grows ...
This research paper is a statistical comparative study of a few average case asymptotically optimal ...
The paper addresses the problem of computing lower bounds on the optimal costs associated with eac...
International audienceWe describe a general framework for realistic analysis of sorting algorithms, ...
The (unit-cost) comparison treemodel has long been the basis of evaluating the performance of algori...
This paper presents a method for obtaining the expected number of data movements executed by the wel...
When using a greedy algorithm for finding a model, as is the case in many data mining algorithms, th...
© 2013, © 2013 Taylor & Francis. We found an interesting relation between convex optimization and so...
: We provide complete average-case as well as probabilistic analysis of the cost of bucket selection...
We present a selection algorithm called BucketSelect which runs faster than Floyd-Rivest\u27s Select...
Bucket sort and RADIX sort are two well-known integer sorting al-gorithms. This paper measures empir...
This paper presents the first distributional analysis of both, a parking problem and a linear probin...
This thesis covers the analysis of radix sort, radix select and the path length of digital trees und...
This paper presents the first distributional analysis of a linear probing hashing scheme with bucket...
AbstractConsider n independent uniform (0, 1) random variables, and let N1, …, Nn be the cardinaliti...
AbstractWe introduce the bucket recursive tree, a generalization of recursive trees. The tree grows ...
This research paper is a statistical comparative study of a few average case asymptotically optimal ...
The paper addresses the problem of computing lower bounds on the optimal costs associated with eac...
International audienceWe describe a general framework for realistic analysis of sorting algorithms, ...
The (unit-cost) comparison treemodel has long been the basis of evaluating the performance of algori...
This paper presents a method for obtaining the expected number of data movements executed by the wel...
When using a greedy algorithm for finding a model, as is the case in many data mining algorithms, th...
© 2013, © 2013 Taylor & Francis. We found an interesting relation between convex optimization and so...