Dijkstra's Shortest Path Calculator
Find the shortest path between nodes in a weighted graph using Dijkstra's algorithm. Features interactive graph visualization, step-by-step priority queue trace, and shortest path tree display.
What is Dijkstra's Algorithm?
Dijkstra's algorithm, invented by Dutch computer scientist Edsger W. Dijkstra in 1956, is a graph search algorithm that solves the single-source shortest path problem for a weighted graph with non-negative edge weights. Given a source node, it finds the shortest path from that node to every other node in the graph.
The algorithm works by maintaining a set of unvisited nodes and repeatedly selecting the unvisited node with the smallest tentative distance (a greedy strategy). Once a node is "visited," its shortest distance is guaranteed to be final.
How to Use the Calculator
- Define edges: Enter edges in the format
source, destination, weight, one per line. Each line represents a connection between two nodes with a non-negative weight. - Choose graph type: Select "Undirected" for two-way edges (like roads) or "Directed" for one-way edges (like flight routes).
- Set source node: Enter the starting node for all shortest path calculations.
- Review results: View the shortest distance to each node, the complete path, and a step-by-step execution trace.
Time Complexity
The efficiency of Dijkstra's algorithm depends on the data structure used for the priority queue. With a binary heap implementation, the time complexity is $O((V + E) \log V)$ where $V$ is the number of vertices and $E$ is the number of edges.
Real-World Applications
- GPS Navigation: Mapping services use Dijkstra's algorithm to find the fastest route between locations.
- Network Routing: Internet routing protocols like OSPF and IS-IS use Dijkstra's algorithm for packet forwarding.
- Game Development: NPC pathfinding uses Dijkstra's algorithm or A* for navigation.
- Social Network Analysis: Finding shortest connection paths between users.
- Supply Chain: Optimizing delivery routes and logistics networks.
Also check: Graph Distance Calculator, Path Finding Calculator, Connected Graph Checker.
Frequently Asked Questions
What is Dijkstra's algorithm?
Dijkstra's algorithm is a graph search algorithm that finds the shortest path from a source node to all other nodes in a weighted graph with non-negative edge weights. It uses a greedy strategy with a priority queue, always processing the unvisited node with the smallest known distance.
Can Dijkstra's algorithm handle negative edge weights?
No, Dijkstra's algorithm requires all edge weights to be non-negative. Negative weights can cause incorrect results because once a node is visited, its distance is considered final. Use the Bellman-Ford algorithm for graphs with negative weights.
What is the difference between directed and undirected graphs?
In a directed graph, edges have a direction: an edge from A to B does not imply an edge from B to A. In an undirected graph, edges work both ways. Road networks are typically undirected, while web links and flight routes are directed.
What is edge relaxation in Dijkstra's algorithm?
Edge relaxation is the core operation in Dijkstra's algorithm. When visiting a node u, for each neighbor v, the algorithm checks if the path through u (dist[u] + weight(u,v)) is shorter than the current known distance to v (dist[v]). If it is, the distance is updated (relaxed).
What is a shortest path tree?
A shortest path tree (SPT) is a subgraph rooted at the source node that contains the shortest paths from the source to all reachable nodes. Each node (except the source) has exactly one parent: the predecessor on its shortest path.