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Fibonacci heaps analysis and comparison with Binary Heap

It is a implementation of Fibonacci heaps and its comparison with Binary Heap.Fibonacci heap has much better performance comapared to binary and binomial heap.

Usage

Run main.c file to run Fibonacci heaps and perform different opperations and at end it will display the time taken

Run binaryHeap.c file to run Binary heaps and perform different opperations and at end it will display the time taken

Run

python testcase/testcasemaker.py

to generate test cases in INSERT_UNION_FIB.txt and INSERT_UNION_BINARY.txt then uncomment lines in main.c and binaryHeap.c to redirect input and from files.


Fibonacci Heap vs Binary Heap

Fibonacci heaps support deletion and decrease key O(log n) amortized time and all other standard heap operations in O(1) amortized time. Whereas Binary Heap take O(log n) for most of the operations and O(n) for union. Fibonacci heaps can perform union in O(1) amortized time.Thus, all the algorithms such as Djikstra’s, Prim’s Min Cost Spanning Tree, can be made even more efficient by using Fibonacci heaps in place of the Binary Heap.


Contributors

Name Entry Number
Sourabh Sanganwar 2020CSB1121
Sanyam Walia 2020CSB1122
Sukhmeet Singh 2020CSB1129

It was made under the guidance of our TA-Sarthak Joshi

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Implementation and analysis of Fibonacci heap and comparison with binary heap

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