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@algorithm.ts/dijkstra

v4.0.5

Published

Dijkstra algorithm optimized with priority queue.

Downloads

265

Readme

A typescript implementation of the dijkstra algorithm.

The following definition is quoted from Wikipedia (https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm):

Dijkstra's algorithm (/ˈdaɪkstrəz/ DYKE-strəz) is an algorithm for finding the shortest paths between nodes in a graph, which may represent, for example, road networks. It was conceived by computer scientist Edsger W. Dijkstra in 1956 and published three years later.

Install

  • npm

    npm install --save @algorithm.ts/dijkstra
  • pnpm

    pnpm add @algorithm.ts/dijkstra

Usage

  • Simple

    import dijkstra from '@algorithm.ts/dijkstra'
    
    const { dist } = dijkstra({
      N: 4,
      source: 0,
      edges: [
        { to: 1, cost: 2 },
        { to: 2, cost: 2 },
        { to: 3, cost: 2 },
        { to: 3, cost: 1 },
      ],
      G: [[0], [1, 2], [3], []],
    })
    // => [0, 2, 4, 4]
    //
    //    Which means:
    //      0 --> 0: cost is 0
    //      0 --> 1: cost is 2
    //      0 --> 2: cost is 4
    //      0 --> 3: cost is 4

Example

  • A solution for leetcode "Number of Ways to Arrive at Destination" (https://leetcode.com/problems/number-of-ways-to-arrive-at-destination/):

    import type { IDijkstraEdge } from '@algorithm.ts/dijkstra'
    import { dijkstra } from '@algorithm.ts/dijkstra'
    
    const MOD = 1e9 + 7
    export function countPaths(N: number, roads: number[][]): number {
      const edges: Array<IDijkstraEdge<number>> = []
      const G: number[][] = new Array(N)
      for (let i = 0; i < N; ++i) G[i] = []
      for (const [from, to, cost] of roads) {
        G[from].push(edges.length)
        edges.push({ to, cost })
    
        G[to].push(edges.length)
        edges.push({ to: from, cost })
      }
    
      const source = 0
      const target = N - 1
      const { dist } = dijkstra({ N, source: target, edges, G }, { INF: 1e12 })
    
      const dp: number[] = new Array(N).fill(-1)
      return dfs(source)
    
      function dfs(o: number): number {
        if (o === target) return 1
    
        let answer = dp[o]
        if (answer !== -1) return answer
    
        answer = 0
        const d = dist[o]
        for (const idx of G[o]) {
          const e: IDijkstraEdge<number> = edges[idx]
          if (dist[e.to] + e.cost === d) {
            const t = dfs(e.to)
            answer = modAdd(answer, t)
          }
        }
        dp[o] = answer
        return answer
      }
    }
    
    function modAdd(x: number, y: number): number {
      const z: number = x + y
      return z < MOD ? z : z - MOD
    }

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