mirror of
https://github.com/TheAlgorithms/JavaScript.git
synced 2025-07-04 07:29:47 +08:00

* chore: Switch to Node 20 + Vitest * chore: migrate to vitest mock functions * chore: code style (switch to prettier) * test: re-enable long-running test Seems the switch to Node 20 and Vitest has vastly improved the code's and / or the test's runtime! see #1193 * chore: code style * chore: fix failing tests * Updated Documentation in README.md * Update contribution guidelines to state usage of Prettier * fix: set prettier printWidth back to 80 * chore: apply updated code style automatically * fix: set prettier line endings to lf again * chore: apply updated code style automatically --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
77 lines
1.7 KiB
JavaScript
77 lines
1.7 KiB
JavaScript
/**
|
|
* Author: Samarth Jain
|
|
* Dijkstra's Algorithm implementation in JavaScript
|
|
* Dijkstra's Algorithm calculates the minimum distance between two nodes.
|
|
* It is used to find the shortest path.
|
|
* It uses graph data structure.
|
|
*/
|
|
|
|
function createGraph(V, E) {
|
|
// V - Number of vertices in graph
|
|
// E - Number of edges in graph (u,v,w)
|
|
const adjList = [] // Adjacency list
|
|
for (let i = 0; i < V; i++) {
|
|
adjList.push([])
|
|
}
|
|
for (let i = 0; i < E.length; i++) {
|
|
adjList[E[i][0]].push([E[i][1], E[i][2]])
|
|
adjList[E[i][1]].push([E[i][0], E[i][2]])
|
|
}
|
|
return adjList
|
|
}
|
|
|
|
function djikstra(graph, V, src) {
|
|
const vis = Array(V).fill(0)
|
|
const dist = []
|
|
for (let i = 0; i < V; i++) dist.push([10000, -1])
|
|
dist[src][0] = 0
|
|
|
|
for (let i = 0; i < V - 1; i++) {
|
|
let mn = -1
|
|
for (let j = 0; j < V; j++) {
|
|
if (vis[j] === 0) {
|
|
if (mn === -1 || dist[j][0] < dist[mn][0]) mn = j
|
|
}
|
|
}
|
|
|
|
vis[mn] = 1
|
|
for (let j = 0; j < graph[mn].length; j++) {
|
|
const edge = graph[mn][j]
|
|
if (vis[edge[0]] === 0 && dist[edge[0]][0] > dist[mn][0] + edge[1]) {
|
|
dist[edge[0]][0] = dist[mn][0] + edge[1]
|
|
dist[edge[0]][1] = mn
|
|
}
|
|
}
|
|
}
|
|
|
|
return dist
|
|
}
|
|
|
|
export { createGraph, djikstra }
|
|
|
|
// const V = 9
|
|
// const E = [
|
|
// [0, 1, 4],
|
|
// [0, 7, 8],
|
|
// [1, 7, 11],
|
|
// [1, 2, 8],
|
|
// [7, 8, 7],
|
|
// [6, 7, 1],
|
|
// [2, 8, 2],
|
|
// [6, 8, 6],
|
|
// [5, 6, 2],
|
|
// [2, 5, 4],
|
|
// [2, 3, 7],
|
|
// [3, 5, 14],
|
|
// [3, 4, 9],
|
|
// [4, 5, 10]
|
|
// ]
|
|
|
|
// const graph = createGraph(V, E)
|
|
// const distances = djikstra(graph, V, 0)
|
|
|
|
/**
|
|
* The first value in the array determines the minimum distance and the
|
|
* second value represents the parent node from which the minimum distance has been calculated
|
|
*/
|