This full course provides a complete introduction to Graph Theory algorithms in computer science. Knowledge of how to create and design excellent algorithms is an essential skill required in becoming a great programmer.

You will learn how many important algorithms work. The algorithms are accompanied by working source code in Java to solidify your understanding.

⭐️ Course Contents ⭐️

⌨️ (0:00:00) Graph Theory Introduction

⌨️ (0:13:53) Problems in Graph Theory

⌨️ (0:23:15) Depth First Search Algorithm

⌨️ (0:33:18) Breadth First Search Algorithm

⌨️ (0:40:27) Breadth First Search grid shortest path

⌨️ (0:56:23) Topological Sort Algorithm

⌨️ (1:09:52) Shortest/Longest path on a Directed Acyclic Graph (DAG)

⌨️ (1:19:34) Dijkstra’s Shortest Path Algorithm

⌨️ (1:43:17) Dijkstra’s Shortest Path Algorithm | Source Code

⌨️ (1:50:47) Bellman Ford Algorithm

⌨️ (2:05:34) Floyd Warshall All Pairs Shortest Path Algorithm

⌨️ (2:20:54) Floyd Warshall All Pairs Shortest Path Algorithm | Source Code

⌨️ (2:29:19) Bridges and Articulation points Algorithm

⌨️ (2:49:01) Bridges and Articulation points source code

⌨️ (2:57:32) Tarjans Strongly Connected Components algorithm

⌨️ (3:13:56) Tarjans Strongly Connected Components algorithm source code

⌨️ (3:20:12) Travelling Salesman Problem | Dynamic Programming

⌨️ (3:39:59) Travelling Salesman Problem source code | Dynamic Programming

⌨️ (3:52:27) Existence of Eulerian Paths and Circuits

⌨️ (4:01:19) Eulerian Path Algorithm

⌨️ (4:15:47) Eulerian Path Algorithm | Source Code

⌨️ (4:23:00) Prim’s Minimum Spanning Tree Algorithm

⌨️ (4:37:05) Eager Prim’s Minimum Spanning Tree Algorithm

⌨️ (4:50:38) Eager Prim’s Minimum Spanning Tree Algorithm | Source Code

⌨️ (4:58:30) Max Flow Ford Fulkerson | Network Flow

⌨️ (5:11:01) Max Flow Ford Fulkerson | Source Code

⌨️ (5:27:25) Unweighted Bipartite Matching | Network Flow

⌨️ (5:38:11) Mice and Owls problem | Network Flow

⌨️ (5:46:11) Elementary Math problem | Network Flow

⌨️ (5:56:19) Edmonds Karp Algorithm | Network Flow

⌨️ (6:05:18) Edmonds Karp Algorithm | Source Code

⌨️ (6:10:08) Capacity Scaling | Network Flow

⌨️ (6:19:34) Capacity Scaling | Network Flow | Source Code

⌨️ (6:25:04) Dinic’s Algorithm | Network Flow

⌨️ (6:36:09) Dinic’s Algorithm | Network Flow | Source Code

💻 Code: https://github.com/williamfiset/algorithms

🔗 Slides: https://github.com/williamfiset/Algorithms/tree/master/slides/graphtheory

#graphql #algorithm #database #datascience

36.20 GEEK