Kompleksitas Algoritma Quick Sort Guna Menemukan Efisiensi Waktu Dan Memori

Authors

DOI:

https://doi.org/10.37729/intek.v1i1.96

Keywords:

Quicksort, Divide and conquer, Performance, Memory

Abstract

Many algorithm methods slve a problem many research have done various performance of each algorithm, until now has growth rapidly the performance of algorithms in the field of computer science. One of the methods from all of algorithms is used such as the quick sort algorithm.
Qucik Sort Algorithm in the process of sorting data used divide and conquer techniques. Divide and conquer techniques can be determined right left or middle pivot. So they have 3 performance such as base case O(n2 log n), worst case O(n2) and average case Tavg = O(n2 log n). In certain, case the worst case was able to work well in place and in virtual memory.

Author Biography

  • Wahju Tjahjo Saputro, Universitas Muhammadiyah Purworejo

    Academic profile: Scholar | Sinta | Orcid ID 

References

Cormane, T., & dkk. (2001). Introduction to Algorithm. Massachusetts, England: The MIT Cambridge Press

Lafore, R. (1999). Teach Your Self Data Structure and Algorithmin 24 Hours. Indianapolis, USA: Sams Publishing

Purbasari, I. (2007). Desain dan Analisis Algoritma. Yogyakarta, DIY, Indonesia: Graha Ilmu

Rinaldi, M. (2011). Diktat Kuliah Analisis Algoritma. Bandung: STT-Telkom

Syaukani, M. (2011). Algoritma dengan C C++ dan JAVA. Bogor: Mitra Wacana Media

Syaukani, M. (2011). Struktur Data dengan C dan C++. Bogor, Jawa Barat, Indonesia: Mitra Wacana Indonesia

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Published

2018-05-29

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Section

Articles

How to Cite

[1]
“Kompleksitas Algoritma Quick Sort Guna Menemukan Efisiensi Waktu Dan Memori”, INTEK, vol. 1, no. 1, pp. 1–6, May 2018, doi: 10.37729/intek.v1i1.96.

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