Graph algorithms are essential for solving complex problems in computer science, mathematics, and network analysis. Below are key algorithms and their applications:

  • Breadth-First Search (BFS) 🚀
    Used for traversing graphs level by level.

    BFS

  • Depth-First Search (DFS) 🔍
    Explores as far as possible along each branch before backtracking.

    DFS

  • Dijkstra's Algorithm 🧭
    Finds the shortest path in a weighted graph with non-negative edges.

    Dijkstra

  • Bellman-Ford Algorithm ⏱️
    Handles graphs with negative weights and detects negative cycles.

    Bellman-Ford

  • Floyd-Warshall Algorithm 🌐
    Computes all pairs of shortest paths in a graph.

    Floyd-Warshall

  • Kruskal's Algorithm 📁
    Efficient for finding minimum spanning trees in undirected graphs.

    Kruskal

  • Prim's Algorithm 🧩
    Builds minimum spanning trees from a starting node.

    Prim

For deeper insights, check our Data Structures Tutorial to understand how graphs are represented. 📘