This is the implementation of 3rd Part in 3-Part Series of Algorithms Illuminated Book. All Implementations in this repository are written in both Python and Golang. Single IPython Notebook contains all Algorithms given in this Part 3.

This Book Series is also available as Algorithms Specialization by Tim Roughgarden on Coursera. If needed, please check this below link: https://www.coursera.org/specializations/algorithms

1. Scheduling Problem using Greedy Programming
2. Huffman Algorithm for finding Prefix-free binary codes using Heaps
3. Prim's Algorithm for finding Minimum Spanning Tree
4. Prim's Algorithm Using Heaps
5. Kruskal Algorithm for finding Minimum Spanning Tree
6. Union-Find or Disjoint Set Data Structure Implementation
7. Kruskal Algorithm using Union-Find Based or Disjoint-Set Data Structure
8. Weighted Independent Set Problem using Dynamic Programming
9. Weighted Independent Set Problem Reconstrution
10. Knapsack Problem
11. Knapsack Reconstruction
12. Needleman–Wunsch algorithm for String Sequence Problem
13. Needleman–Wunsch Reconstruction
14. Optimal Binary Search Tree Implementation using Dynamic Programming (Includes Reconstruction)
15. Bellman-Ford Algorithm for finding Shortest-Path of Graphs with Negative edge weights
16. Floyd-Warshall Algorithm for finding All-Pairs Shortest Paths

Tested on

python v3.7
go v1.14