This repository contains Python code for analyzing and comparing the performance of heap construction methods, both in the average and worst-case scenarios, using the Heap Sort algorithm.
Heap Sort is a comparison-based sorting algorithm that makes use of a binary heap data structure. This repository includes Python code for performing an analysis of the heap construction methods in two scenarios: average-case and worst-case.
The heap construction methods analyzed include:
- Bottom-Up Build Heap
- Top-Down Build Heap
To run the code and perform the analysis, follow these steps:
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Clone this repository to your local machine:
git clone https://github.com/yourusername/heap-sort-analysis.git
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Ensure you have Python installed on your system.
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Install the required libraries using pip:
pip install matplotlib
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Run the analysis by executing the
analysis.py
script:python analysis.py
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The analysis results will be displayed in the form of plots for both average and worst-case scenarios.
The code includes several functions, each serving a specific purpose:
heapify
: Maintains the heap property in a max-heap.build_heap_bottom_up
: Creates a max-heap using the bottom-up approach.insert_top_down
: Inserts an element into a max-heap using the top-down approach.build_heap_top_down
: Creates a max-heap using the top-down approach.heap_sort
: Sorts a list using the heap sort algorithm.generate_random_data
: Generates a list of random data.average_case_analysis
: Analyzes the average case performance of the heap construction methods and plots the results.worst_case_analysis
: Analyzes the worst case performance of the heap construction methods and plots the results.
The average_case_analysis
function generates random data and measures the average case performance of both heap construction methods. It produces plots illustrating comparisons, assignments, and total operations.
The worst_case_analysis
function analyzes the worst case performance of the heap construction methods. It generates data that represents the worst-case scenario and produces plots for comparisons and assignments in the worst case.
You should replace "https://github.com/yourusername/heap-sort-analysis.git"
with the actual URL of your repository. Make sure to provide a detailed explanation of how to use the code and describe the functions used in your analysis. Additionally, include a section about the license to make it clear how others can use your code.