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djikstra

v0.2.0

Published

A TypeScript implementation of Dijkstra's algorithm for finding shortest paths in graphs

Readme

Djikstra

A TypeScript implementation of Dijkstra's algorithm for finding shortest paths in graphs.

npm Tests

Installation

npm install djikstra

Usage

import { findShortestPath } from 'djikstra';

const graph = {
  A: { B: 5, C: 2 },
  B: { A: 5, D: 1 },
  C: { A: 2, D: 6 },
  D: { B: 1, C: 6, E: 2 },
  E: { D: 2 },
};

const result = findShortestPath(graph, 'A', 'E');

if (result.status === 'reachable') {
  console.log(result.path);     // ['A', 'B', 'D', 'E']
  console.log(result.distance); // 8
}

Implementation

Uses a binary min-heap priority queue for O(E log V) performance. Single-target queries terminate early when the destination is reached.

Graph Format

Graphs are adjacency lists as plain objects. Edges are directional — if you want to travel both ways, add both directions:

const roadNetwork = {
  "NewYork":      { "Boston": 215, "Philadelphia": 95 },
  "Boston":       { "NewYork": 215, "Portland": 112 },
  "Philadelphia": { "NewYork": 95, "Washington": 140 },
  "Portland":     { "Boston": 112 },
  "Washington":   { "Philadelphia": 140 }
};

Each key is a node, each value maps neighbors to edge weights. Weights can differ by direction (e.g. uphill vs downhill).

Errors

The library throws on invalid input rather than returning silently wrong results:

| Condition | Error | |-----------|-------| | Source node not in graph | Source node "X" does not exist in the graph. | | Destination node not in graph (not even as a neighbor) | Destination node "X" does not exist in the graph. | | Negative, NaN, or Infinity edge weight | Invalid edge weight ... Weights must be finite and non-negative. |

If source and destination are valid but no path exists, findShortestPath returns { status: 'unreachable' } instead of throwing.

API Reference

findShortestPath

findShortestPath(graph: Graph, source: string, destination: string): PathResult

Calculates the shortest path between two nodes in a graph.

| Parameter | Type | Description | |--------------|--------|-------------| | graph | Graph | The graph represented as an adjacency list | | source | string | The starting node ID | | destination | string | The target node ID |

Returns: A discriminated union with either reachable or unreachable status

type PathResult = 
  | { status: 'reachable'; path: string[]; distance: number }
  | { status: 'unreachable' }

Throws: See Errors


computeAllPaths

computeAllPaths(graph: Graph, source: string): Record<string, number>

Computes the shortest distance from a source to all nodes in the graph, including Infinity for unreachable ones.

| Parameter | Type | Description | |-----------|--------|-------------| | graph | Graph | The graph represented as an adjacency list | | source | string | The starting node ID |

Returns: An object mapping each node ID to its shortest distance from the source (Infinity for unreachable nodes)


computeDistancesAndPaths

computeDistancesAndPaths(
  graph: Graph, 
  source: string
): { 
  distances: Record<string, number>; 
  predecessors: Record<string, string> 
}

Provides complete pathfinding information from a source to all nodes.

| Parameter | Type | Description | |-----------|--------|-------------| | graph | Graph | The graph represented as an adjacency list | | source | string | The starting node ID |

Returns:

  • distances: Maps each node ID to its shortest distance from source
  • predecessors: Maps each node ID to its predecessor in the shortest path

Note: Use the predecessors map to reconstruct the full path to any node

License

ISC