Graph Theory Algorithms for Competitive Programming

Udemy
Deal Score+2
Deal Score+2
9.3Expert Score
9.3/10

Graph Theory Algorithms for Competitive Programming Course by Prateek NarangApaar Kamal and Coding Minutes on Udemy. Learn Graphs Algorithms in Computer Science & Mathematics, theory + hands-on coding and ace Competitive Coding problems!

Udemy Coupon for Graph Theory Algorithms for Competitive Programming. Find Out Other Competitive Programming Courses and Tutorials from Udemy Learning with Discount Coupon Codes. Learn Graphs Algorithms in Computer Science & Mathematics, theory + hands-on coding and ace Competitive Coding problems!

Graph Theory Algorithms Course Description

Welcome to Graph Algorithms for Competitive Coding – the most detailed Specialisation in Graph Theory for Competitive Programmers, Software Engineers & Computer Science students! Graphs is quite an important topic for software engineers, both for academics & online competitions and for solving real life challenges. Graph algorithms form the very fundamentals of many popular applications like – Google Maps, social media apps like Facebook, Instagram, Quora, LinkedIn, Computer Vision applications such as image segmentation, resolving dependencies while compile time, vehicle routing problems in supply chain and many more. This course provides a detailed overview of Graph Theory algorithms in computer science, along with hands on implementation of all the algorithms in C++. Not just that you will get 80+ competitive coding questions, to practice & test your skills!

Recommended Competitive Programming Course on Udemy

Competitive Programming Essentials, Master Algorithms

Competitive Programming Essentials, Master Algorithms

Master competitive coding techniques – maths, number theory, dynamic programming, advanced data structures & algorithms

The online Competitive Programming Essentials by Coding Minutes is a highly exhaustive & rigorous course on Competitive Programming. The 50+ hours course covers the breadth & depth of algorithmic programming starting from a recap of common data structures, and diving deep into essential and advanced algorithms.

Game Theory Algorithms in Competitive Programming

Game Theory Algorithms in Competitive Programming

Dive deep into game theory algorithms, learn & apply these techniques for Codeforces & Competitive Programming problems!

This hands-on course is designed for everyone to learn & implement Game Theory concepts to solve Competitive Programming Challenges. You will learn how approach Game Theory based questions involving – Nim Game, Sprague Grundy Theorem, Subtraction Games, Combinatorial Games, Graph Games, Take-away games! The Game Theory Algorithms in Competitive Programming course involves both breadth and depth of these topics with enough examples and hands-on coding for each problem.

What you’ll learn

  • Graph Basics, Applications
  • BFS, DFS, Connected Components
  • Shortest Paths – Dijkstra, Bellman, Floyd Warshall
  • Travelling Salesman Problem – DP with Bitmasks
  • Topological Ordering, Strongly Connected Components
  • Disjoint Set Union, Minimum Spanning Trees, Prim’s & Kruskal
  • Advanced Graphs, Euler Tour, Trees
  • Network Flow, LCA, Articulation Points
  • Graphs for Competitive Programming
  • 80 + Competitive Coding Questions

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