HYBRID QUICKSORT: AN EMPIRICAL STUDY
DOI:
https://doi.org/10.21512/commit.v7i2.582Abstract
This article describes an empirical study of hybrid approach of quicksort algorithms. The hybrid approach uses various variations of quicksort partition algorithms in combination with cutoff to shellsort using several cutoff elements. The paper compares the running time performance of the existing quicksort partition algorithms with the proposed hybrid approachusing uniqueand duplicate elements. As a result, it is found that several the hybrid approaches performs faster than the existing algorithms for uniqueand duplicate elements.Plum Analytics
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)