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Added Kann's algorithm #1676

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47 changes: 47 additions & 0 deletions Graphs/TopoSortIterative.js
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import Queue from '../Data-Structures/Queue/Queue'
/**
* @author {RaviSadam}
* @name TopoSortIterative
* @description -
* Topological sorting algorithm implementation in JavaScript(Khan's Algorithm)
* @summary
* Topological sorting for Directed Acyclic Graph is a linear ordering of vertices
* such that for every directed edge u-v, vertex u comes before v in the ordering.
*
* @param graph - Graph (adjacency list)
* @returns {Array} - Gives null if graph has cycle otherwise result array
*
*/

export function TopoSortIterative(graph) {
const n = graph.length
const inDegree = Array(n).fill(0)
const queue = new Queue()
const result = Array(n).fill(0)
let index = 0

for (const neighbors of graph) {
for (const neighbor of neighbors) {
inDegree[neighbor] += 1
}
}

for (let i = 0; i < n; i++) {
if (inDegree[i] === 0) {
queue.enqueue(i)
}
}
while (queue.length !== 0) {
const node = queue.dequeue()
result[index] = node
index += 1
for (let neighbor of graph[node]) {
inDegree[neighbor] -= 1
if (inDegree[neighbor] === 0) {
queue.enqueue(neighbor)
}
}
}
if (index !== n) return null
return result
}
59 changes: 59 additions & 0 deletions Graphs/TopoSortRecursive.js
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function TopoSortRecursiveFunction(graph, visited, stack, path, vertex) {
//marking current vertex as visited
visited.add(vertex)

//marking current vertex as being part of current path
path[vertex] = 1
if (graph[vertex] && graph[vertex].length !== 0) {
for (const neighbor of graph[vertex]) {
//if neighbor is not visited then visit else continue
if (!visited.has(neighbor)) {
TopoSortRecursiveFunction(graph, visited, stack, path, neighbor)
} else if (path[neighbor] == 1) return
}
}

//unmarking vertex
path[vertex] = 0

//visited all vertex coming after the current vertex
//so added to stack
stack.push(vertex)
}

/**
*
* @author {RaviSadam}
* @name TopoSortRecursive
* @description -
* Topological sorting algorithm implementation in JavaScript
* @summary
* Topological sorting for Directed Acyclic Graph is a linear ordering of vertices
* such that for every directed edge u-v, vertex u comes before v in the ordering.
*
* @param graph - Graph (adjacency list)
* @returns {Array} - Gives null if graph has cycle otherwise result array
*
*/
export function TopoSortRecursive(graph) {
const n = graph.length
const stack = []
//visited set for keep tracking of visited vertises
const visited = new Set()

//path array for keep tacking of vertices
//visited in current path

const path = Array(n).fill(0)
for (let i = 0; i < n; i++) {
if (!visited.has(i)) {
TopoSortRecursiveFunction(graph, visited, stack, path, i)
}
}
for (const value of path) {
if (value === 1) return null
}
//reverse the stack for getting exact topological order
stack.reverse()
return stack
}
14 changes: 14 additions & 0 deletions Graphs/test/TopoSortIterative.test.js
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import { TopoSortIterative } from '../TopoSortIterative'

describe('Iterative Topological Sorting', () => {
test('Graph without cycle', () => {
const graph = [[], [], [3], [1], [0, 1], [0, 2]]

expect(TopoSortIterative(graph, 6)).toEqual([4, 5, 0, 2, 3, 1])
})
test('Graph with cycle', () => {
const graph = [[2], [], [3, 5], [0, 1], [0, 2]]

expect(TopoSortIterative(graph, 6)).toBe(null)
})
})
18 changes: 18 additions & 0 deletions Graphs/test/TopoSortRecursive.test.js
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import { TopoSortRecursive } from '../TopoSortRecursive'

describe('Recursive Topological Sorting', () => {
test('Graph without cycle', () => {
const graph = [[], [], [3], [1], [0, 1], [0, 2]]

expect(TopoSortRecursive(graph, 6)).toEqual([5, 4, 2, 3, 1, 0])
})
test('Graph with cycle', () => {
const graph = [[2], [], [3, 5], [0, 1], [0, 2]]

expect(TopoSortRecursive(graph, 6)).toBe(null)
})
test('Graph with disconnected components', () => {
const graph = [[1, 2], [3], [3], [], [5], []]
expect(TopoSortRecursive(graph, 6)).toEqual([4, 5, 0, 2, 1, 3])
})
})