Search⌘ K
Home
Courses
Learn Graph Algorithms in C++

Recap and Next Steps

Explore a comprehensive recap of graph algorithms covered in this course, including fundamental concepts, graph representations, traversal methods, shortest path calculations, spanning trees, and flow problems. Understand practical applications and gain recommendations for further study in advanced areas such as Eulerian trails, complex matchings, traveling salesman problems, and NP-hard challenges. This lesson helps consolidate your knowledge and plan your next learning steps in graph algorithm topics.

We'll cover the following...

Recap

Congratulations on finishing this course on graph algorithms in C++! Let’s recap what we learned in each chapter.

  • First, we discovered the fundamental concepts and terminology of graph theory, such as directed, undirected, and weighted graphs.
  • Next, we explored how graphs can be represented as data structures in programs, using adjacency lists and adjacency matrices.
  • We traversed graphs using BFS and DFS and studied applications of graph traversal, such as computing strongly connected components.
  • We also computed shortest paths in weighted graphs using Dijkstra’s algorithm and the Floyd-Warshall
...