explanation
Graph Theory Algorithms is a complete course on graph theory algorithms in computer science and mathematics. In this video tutorial, you will learn how to store and display graphs on a computer, knowledge of general problems in graph theory, popular search algorithms (DFS and BFS), Dijkstra’s shortest path finding algorithm, arrangement according to topology, and much more. learn. , what is the negative detection cycle and find the shortest path using Bellman-Ford and Floyd-Warshall algorithms.
Here’s what you’ll learn in the Graph Theory Algorithms course:
- Your computer’s memory and display graph
- General problems in graph theory
- First row and depth search algorithms
- Various algorithms include tree height or tree, finding tree centroid, tree routing, etc.
- Dijkstra’s Algorithm
- Position Sorting Algorithm
- Shortest and longest paths in nonlinear graphs
- Bellman Ford Algorithm
- Floyd-Warshall Algorithm
- Find bridge/joint points
- Find components with strong connections (Tarjan’s)
- Supplier Motion Issue (TSP)
- How to find the maximum flow of a flow graph
- Find matching two-part graph
- Various network flow algorithms include Edmonds-Karp, Capacity Scaling, and Dinic.
- Kruskal Algorithm
- lowest common ancestor problem
Course specifications
Publisher: Udemy
teacher: william fissett
Language: English
Level: Beginner~Advanced
Number of courses: 46
Duration: 9 hours 2 minutes
Course Topics:
Course Prerequisites:
Exposure to computer science fundamentals (e.g. data structures, recursion, classes, OOP)
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Quality: 720p
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