Sorting Algorithms

This article presents a detailed analysis of sorting algorithms, highlighting their implementations, efficiencies and practical applications. Through extensive benchmarking with datasets of varying sizes (10,000 to 100,000 elements) and characteristics (random, partially ordered, reverse ordered), we demonstrate that hybrid algorithms like Timsort outperform simpler algorithms by up to 98% in real-world scenarios. Our results show that while Quicksort achieves O(n log n) average performance, Timsort maintains consistent performance across all test cases, making it the preferred choice for production systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15428876
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.00
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article

Sorting Algorithms

Zenodo (CERN European Organization for Nuclear Research)
Algorithms and Data Compression
article

Sorting Algorithms

article en

Abstract

This article presents a detailed analysis of sorting algorithms, highlighting their implementations, efficiencies and practical applications. Through extensive benchmarking with datasets of varying sizes (10,000 to 100,000 elements) and characteristics (random, partially ordered, reverse ordered), we demonstrate that hybrid algorithms like Timsort outperform simpler algorithms by up to 98% in real-world scenarios. Our results show that while Quicksort achieves O(n log n) average performance, Timsort maintains consistent performance across all test cases, making it the preferred choice for production systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Algorithms and Data Compression
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Sorting Algorithms · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS