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Sorting Algorithm Comparison 🕹️

The experiment depicts a comparative study of five sorting algorithms, aiming to illustrate the behavior of sorting algorithms and serve as a guideline for selecting the most efficient algorithm based on the characteristics of real-world data.

Architecture

Pipeline

Dataset Selection

The Test cases have been generated based on the characteristics of real-world data to ensuring a comprehensive evaluation of the sorting algorithms

  • Random-Ordered Unique Data
  • Random Normal Distribution Data
  • Normal Distribution Data with Varying Standard Deviations
  • Sorted Data Datasets

Sorting Algorithm Selection guideline

Guideline

The sorting algorithm selection guideline has been formulated based on our comparative study using a large test set. In datasets with fewer than 10,000 elements

Project Report 📃

Sorting Algorithm a comparative study.pdf

Background 🏫

  • This project is a part of the CPE231 Algorithm subject in Semester 1/2023
  • Department of Computer Engineering, King Mongkut's University of Technology Thonburi

Members

Student ID Name Github
65070501039 Pongpon Butseemart Pongpon00
65070501055 Sorrawit Udomwittayakrai SorrawitUdom
65070501069 Kanitsorn Darunaitorn Dr804t
65070501083 Panurut Sirinapaisan sokungz01
65070501092 Park Saranunt Saranunt

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