Graphs are a fundamental data structure in computer science, used to model relationships in everything from social networks to transportation systems. Understanding how to efficiently work with graphs is a crucial skill for any programmer.
In this course, Introduction to Graph Algorithms in C++, you’ll learn the key concepts and algorithms used to solve graph-based problems. We’ll start with the basics, such as adjacency matrices vs. adjacency lists and the difference between directed and undirected graphs. Then, we’ll explore essential algorithms like Dijkstra’s and Bellman-Ford for shortest path calculations, Kruskal’s and Prim’s for minimum spanning trees, and even advanced techniques like Floyd-Warshall and A*. You’ll also dive into network flow problems, learning how algorithms like Ford-Fulkerson can help solve complex optimization tasks.
Each topic is taught with clear explanations and hands-on C++ implementations, ensuring you gain both theoretical knowledge and practical coding experience. By the end of this course, you’ll be well-equipped to tackle graph-related challenges in technical interviews, competitive programming, and real-world applications.
