Programming

Dijkstra’s Algorithm Explained: Shortest-Path Example, Pseudocode and Complexity

Learn how Dijkstra’s algorithm works on non-negative weighted graphs, with a worked example, implementation guidance and common mistakes.

Dijkstra’s algorithm finds shortest paths from a source vertex in a graph with non-negative edge weights. This guide explains relaxation, a worked example, priority-queue pseudocode, time complexity and when to choose BFS, Bellman–Ford or another method.