A liteweight javascript graph library.
- BFS/DFS
- Dijkstra for shortest path
- Bellman- Ford for shortest path ( Negative Cycle checking )
- Johnson's for all pair shortest paths
- Prim's Algorithm for minimum spanning tree of Undirected complete graph
- Kruskal
- Max Flow
- Centrality
- A * Search
- DAG shortest path
- Connected Components
- Fork the repo and implement the algorithms in to do list.
- If you find any bug just open an issue.
- You can always contact me at @devenbhooshan on twitter.
- Build the library by typing
make
from the root directory of graph.js. - A file named graph.js would be created in the folder build/
- Done (ya!!!)
- Sample code can be found in test folder
graph =new Graph(); // creates a graph
node1=graph.AddNode("India"); // creates a node
node2=graph.AddNode("Delhi"); // creates a node
node1.addEdge(node2); // Adds an edge between node1 & node2
console.log(node1.adjList); // returns all neighbouring nodes of nod1
console.log(node2.adjList); // returns all neighbouring nodes of nod2
console.log(graph.nodes.length); // returns number of nodes in graph
var bfsTraversedNodes=bfs(graph); // returns a bfs traversal of graph
var dfsTraversedNodes=dfs(graph); // returns a dfs traversal of graph
dijkstra(graph,sourceNode,destinationNode); // returns shortest distance between source and destination nodes
bellman_ford(graph,node1,node6); // This function returns null if there exist negative cycle in the graph otherwise it gives the shortest distance between node1 and node6