Comparative Performance Evaluation of Suboptimal Binary Search Trees
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Abstract

Three relevant types of suboptimal binary search trees are comparatively evaluated in this paper: two well-known representatives of height-balanced approaches (the AVL and red-black trees) and a popular self-adjusting splay tree. After a brief theoretical background, an evaluation method was described that employs a suitable synthetic workload method capable of producing diverse desired workload characteristics (different distributions and ranges of key values, varying input sequence lengths, etc.). Evaluation analysis was conducted for search, insert, and delete operations separately for each particular type and in appropriate combinations. Experimental results for an average operation cost as well as for tree maintenance cost are comparatively presented and carefully discussed. Finally, the suggested favorable conditions for application of each tree type are summarized.

 

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DOI: 10.5937/1-42709

References

I (we), the author(s), hereby declare under full moral, financial and criminal liability that the manuscript submitted for publication to the Journal of Computer and Forensic Sciences

a) is the result of my (our) own original research and that I (we) hold the right to publish it;

b) does not infringe any copyright or other third-party proprietary rights;

c) complies with the Journal’s research and publishing ethics standards;

d) has not been published elsewhere, under this or any other title;

e) is not under consideration by another publication, under this or any other title.

I (we) also declare under full moral, financial and criminal liability:

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g) that if the article has been accepted for publishing I (we) will transfer all copyright ownership of the manuscript to the University of Criminal Investigation and Police Studies in Belgrade.

Signed by the Corresponding Author on behalf of the all other authors.

 

 

 

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