Dijkstra Visualized in 60 Seconds #dijkstra #shorts #algorithm

Watch the full long-form Dijkstra explanation on the channel for step-by-step reasoning, complexity and a detailed walkthrough.

Dijkstra is explained with a visual animation so you can see how each step works on real data.

Core idea: Dijkstra always expands from the node with the smallest temporary distance.

When to use it: Finds shortest paths in graphs with non-negative edge weights.

Mental model: Each step finalizes the cheapest known node, then updates costs for its neighbors.

Main steps:
1. Set start distance to 0 and all others to infinity.
2. Pick the unprocessed node with the smallest distance.
3. Relax outgoing edges to update better paths.

What to watch:
- Distance labels show the best known cost.
- The active edge is the edge currently being relaxed.

Complexity: best O((V+E) log V), average O((V+E) log V), worst O((V+E) log V), space O(V).

Takeaway: Very important for maps, routing, and non-negative weighted shortest paths.

Create algorithm videos with this tool: https://algorithm-animator-studio.vercel.app/

Видео Dijkstra Visualized in 60 Seconds #dijkstra #shorts #algorithm канала Code Visual Lab