Lesson 174
Dijkstra's Algorithm
Single-Source Shortest Path
1:00Dijkstra's algorithm finds the shortest path from one source vertex to every other vertex in a non-negative weighted graph using a greedy min-heap strategy.
By the end, you can
- Explain the single-source shortest path problem and state Dijkstra's non-negative weight requirement.
- Trace Dijkstra's algorithm on a small graph, recording tentative distances, settle order, and the final shortest-path tree.
- Apply the relaxation rule to determine whether a distance update occurs for a given edge.
- Identify stale heap entries and explain how lazy deletion handles them.
- Reconstruct a shortest path by following the prev (parent) map from destination back to source.
- Explain why Dijkstra fails on negative edge weights using a concrete counterexample.
- State the time complexity of Dijkstra with a binary heap vs. a plain array, and the space complexity.
- Describe at least two real-world applications of Dijkstra's algorithm.
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