Graph Theory Algorithms for Competitive Programming (2022) is a training course in graph theory and algorithms for competitive programming published by Udemy Academy. Graph algorithms have many applications in computer science and mathematics and are very important and necessary topics. In this course, in addition to theoretical and theoretical topics, you will deal with graph theory in a completely practical way and use its algorithms to solve various software challenges.
Among the most important applications of graph algorithms are computer vision, image segmentation, vehicle routing, and so on. Graph algorithms have been used in various applications such as Google Maps, Facebook, Instagram, Quora, LinkedIn, and و, and almost all major technology companies have used this powerful technology in some way.
In this training course, you will implement all graph algorithms with the C ++ programming language. At the end of the course, you will be presented with 80 programming problems and challenges that you will be able to solve only with algorithm writing and complete mastery of graph theory.
What you will learn in Graph Theory Algorithms for Competitive Programming (2022):
- Graph theory and its various applications
- First Level Search Algorithm ( BFS )
- First Depth Search Algorithm ( DFS )
- Connected Components _
- The problem of finding the shortest path
- Diextra algorithm
- Belman’s equation
- Floyd – Warshall algorithm
- Traveling salesman problem
- Topological sorting
- Strongly connected component
- Separate collections (data structure)
- Minimal cover tree
- Eulerian round
- Life cycle assessment
- Component Two
Instructor: Prateek Narang, Apaar Kamal, and Coding Minutes
Education Level: Basic to Advanced
Number of Courses: 118
Training Duration: 23 hours and 7 minutes
Graph Theory Algorithms for Competitive Programming Course topics
Graph Theory Algorithms for Competitive Programming Course Prerequisites
Familiarity with basic data structures
Ability to write/understand code
Prior experience in problem-solving
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