algorithm: LCA by binary lifting (#1237)

* algorithm: LCA by binary lifting

* removed trailing spaces

* reduced code duplication by importing code from other file

* made requested changes

Graphs/BinaryLifting.js

@@ -9,7 +9,7 @@
  * Tutorial on Binary Lifting: https://codeforces.com/blog/entry/100826
  */
 
-class BinaryLifting {
+export class BinaryLifting {
   constructor (root, tree) {
     this.root = root
     this.connections = new Map()

Graphs/LCABinaryLifting.js

@@ -0,0 +1,61 @@
+/**
+ * Author: Adrito Mukherjee
+ * Findind Lowest Common Ancestor By Binary Lifting implementation in JavaScript
+ * The technique requires preprocessing the tree in O(N log N) using dynamic programming)
+ * It can be used to find Lowest Common Ancestor of two nodes in O(log N)
+ * Tutorial on Lowest Common Ancestor: https://www.geeksforgeeks.org/lca-in-a-tree-using-binary-lifting-technique
+ */
+
+import { BinaryLifting } from './BinaryLifting'
+
+class LCABinaryLifting extends BinaryLifting {
+  constructor (root, tree) {
+    super(root, tree)
+    this.depth = new Map() // depth[node] stores the depth of node from root
+    this.depth.set(root, 1)
+    this.dfsDepth(root, root)
+  }
+
+  dfsDepth (node, parent) {
+    // DFS to find depth of every node in the tree
+    for (const child of this.connections.get(node)) {
+      if (child !== parent) {
+        this.depth.set(child, this.depth.get(node) + 1)
+        this.dfsDepth(child, node)
+      }
+    }
+  }
+
+  getLCA (node1, node2) {
+    // We make sure that node1 is the deeper node among node1 and node2
+    if (this.depth.get(node1) < this.depth.get(node2)) {
+      [node1, node2] = [node2, node1]
+    }
+    // We check if node1 is the ancestor of node2, and if so, then return node1
+    const k = this.depth.get(node1) - this.depth.get(node2)
+    node1 = this.kthAncestor(node1, k)
+    if (node1 === node2) {
+      return node1
+    }
+
+    for (let i = this.log - 1; i >= 0; i--) {
+      if (this.up.get(node1).get(i) !== this.up.get(node2).get(i)) {
+        node1 = this.up.get(node1).get(i)
+        node2 = this.up.get(node2).get(i)
+      }
+    }
+    return this.up.get(node1).get(0)
+  }
+}
+
+function lcaBinaryLifting (root, tree, queries) {
+  const graphObject = new LCABinaryLifting(root, tree)
+  const lowestCommonAncestors = []
+  for (const [node1, node2] of queries) {
+    const lca = graphObject.getLCA(node1, node2)
+    lowestCommonAncestors.push(lca)
+  }
+  return lowestCommonAncestors
+}
+
+export default lcaBinaryLifting

Graphs/test/LCABinaryLifting.test.js

@@ -0,0 +1,80 @@
+import lcaBinaryLifting from '../LCABinaryLifting'
+
+// The graph for Test Case 1 looks like this:
+//
+//         0
+//        /|\
+//       / | \
+//      1  3  5
+//     / \     \
+//    2   4     6
+//         \
+//          7
+//         / \
+//        11  8
+//             \
+//              9
+//               \
+//                10
+
+test('Test case 1', () => {
+  const root = 0
+  const graph = [
+    [0, 1],
+    [0, 3],
+    [0, 5],
+    [5, 6],
+    [1, 2],
+    [1, 4],
+    [4, 7],
+    [7, 11],
+    [7, 8],
+    [8, 9],
+    [9, 10]
+  ]
+  const queries = [
+    [1, 3],
+    [6, 5],
+    [3, 6],
+    [7, 10],
+    [8, 10],
+    [11, 2],
+    [11, 10]
+  ]
+  const lowestCommonAncestors = lcaBinaryLifting(root, graph, queries)
+  expect(lowestCommonAncestors).toEqual([0, 5, 0, 7, 8, 1, 7])
+})
+
+// The graph for Test Case 2 looks like this:
+//
+//         0
+//        / \
+//       1   2
+//      / \   \
+//     3   4   5
+//    /       / \
+//   6       7   8
+
+test('Test case 2', () => {
+  const root = 0
+  const graph = [
+    [0, 1],
+    [0, 2],
+    [1, 3],
+    [1, 4],
+    [2, 5],
+    [3, 6],
+    [5, 7],
+    [5, 8]
+  ]
+  const queries = [
+    [1, 2],
+    [3, 4],
+    [5, 4],
+    [6, 7],
+    [6, 8],
+    [7, 8]
+  ]
+  const lowestCommonAncestors = lcaBinaryLifting(root, graph, queries)
+  expect(lowestCommonAncestors).toEqual([0, 1, 0, 0, 0, 5])
+})