This repository contains my implementation of the algorithms discussed in 6.006 and 6.046J CS courses of MIT open course ware. I used Python 3.7 to code these algorithms.
S.No. | File name | Description |
---|---|---|
1 | peakfinding_1D.py | Illustrates how to create classes in Python |
2 | peakfinding_2D.py | Illustartes how to create bar, scatter and line plots. |
3 | Document_Distance | This folder contains 8 variants of an algorithm to compute distance between two documents containg some text. The algorithms are increasingly efficinet implementations |
4 | insertion_and_merge_sort.py | An implementation of Insertion {O(n^2)} and Merge sort {O(n lg n)}. |
5 | heap_sort.ipynb | An implementation of Heap Sort algorithm {O(n lg n)}, Build-max-heap is {O(lg n)} and for loop within heap_sort is {O(n)}. |
6 | Counting_and_Radix_Sort.ipynb | An implementation of the Counting Sort and Radix sort algorithms ~ {O(n)}. |
7 | Karp-Rabin.ipynb | An implementation of the Karp-Rabin algorithm for string matching in Python. |
8 | Karatsuba_Multiplication.ipynb | An implementation of the Karatsuba algorithm for faster multiplication ~O(n^1.585). |
9 | Newton-Raphson-Method.ipynb | An implementation of the Newton-Raphson algorithm for finding roots of a polynomial equation. |
10 | Breadth_First_Traversal.ipynb | An implementation of breadth first search (or traversal) in a given graph 'G' from a given source vetex 's'. |
11 | Depth_First_Search.ipynb | An implementation of depth first search (or traversal) in a given graph 'G'. |
12 | Dijkstra_shortest_path.ipynb | An implementation of Dijkstra's single source shortest path algorithm in a given graph 'G'. |
13 | Bellman-Ford_Algorithm.ipynb | An implementation of Bellman-Ford single source shortest path algorithm in a given graph 'G'. This algorithm detects negative cycles in a given graph. |
S.No. | File name | Description |
---|---|---|
1 | Fibonacci_Memoization.ipynb | A recursive implementation Fibonacci series generator, its limitation and solution through memoization. |
2 | RandomWalk_MonteCarlo.ipynb | What is the largest random walk for which no transport (<=4) will be required to return home? |