Perfect Simulation from the Quicksort Limit Distribution
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Perfect Simulation from the Quicksort Limit Distribution |
2. | Creator | Author's name, affiliation, country | Luc Devroye; McGill University |
2. | Creator | Author's name, affiliation, country | James Allen Fill; The Johns Hopkins University |
2. | Creator | Author's name, affiliation, country | Ralph Neininger; Universität Freiburg |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Quicksort, random variate generation, simulation, perfect simulation,rejection method, Monte Carlo method, fixed-point equation |
4. | Description | Abstract | The weak limit of the normalized number of comparisons needed by the Quicksort algorithm to sort n randomly permuted items is known to be determined implicitly by a distributional fixed-point equation. We give an algorithm for perfect random variate generation from this distribution. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2000-06-05 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/1024 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v5-1024 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 5 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
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