Files
hello-algo/en/codes/javascript/chapter_tree/binary_search_tree.js
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

140 lines
4.4 KiB
JavaScript

/**
* File: binary_search_tree.js
* Created Time: 2022-12-04
* Author: IsChristina (christinaxia77@foxmail.com)
*/
const { TreeNode } = require('../modules/TreeNode');
const { printTree } = require('../modules/PrintUtil');
/* Binary search tree */
class BinarySearchTree {
/* Constructor */
constructor() {
// Initialize an empty tree
this.root = null;
}
/* Get the root of the binary tree */
getRoot() {
return this.root;
}
/* Find a node */
search(num) {
let cur = this.root;
// Search in a loop until reaching a null reference beyond a leaf
while (cur !== null) {
// The target node lies in the right subtree of cur
if (cur.val < num) cur = cur.right;
// The target node lies in the left subtree of cur
else if (cur.val > num) cur = cur.left;
// The target node was found; exit the loop
else break;
}
// Return the target node
return cur;
}
/* Insert a node */
insert(num) {
// If the tree is empty, initialize the root node
if (this.root === null) {
this.root = new TreeNode(num);
return;
}
let cur = this.root,
pre = null;
// Search in a loop until reaching a null reference beyond a leaf
while (cur !== null) {
// Return immediately if a duplicate node is found
if (cur.val === num) return;
pre = cur;
// The insertion position lies in the right subtree of cur
if (cur.val < num) cur = cur.right;
// The insertion position lies in the left subtree of cur
else cur = cur.left;
}
// Insert a node
const node = new TreeNode(num);
if (pre.val < num) pre.right = node;
else pre.left = node;
}
/* Remove a node */
remove(num) {
// Return immediately if the tree is empty
if (this.root === null) return;
let cur = this.root,
pre = null;
// Search in a loop until reaching a null reference beyond a leaf
while (cur !== null) {
// The node to remove was found; exit the loop
if (cur.val === num) break;
pre = cur;
// The node to remove lies in the right subtree of cur
if (cur.val < num) cur = cur.right;
// The node to remove lies in the left subtree of cur
else cur = cur.left;
}
// Return immediately if the node to remove does not exist
if (cur === null) return;
// Number of children = 0 or 1
if (cur.left === null || cur.right === null) {
// With 0 / 1 children, child is null / the child node, respectively
const child = cur.left !== null ? cur.left : cur.right;
// Remove node cur
if (cur !== this.root) {
if (pre.left === cur) pre.left = child;
else pre.right = child;
} else {
// If the removed node is the root, assign the new root
this.root = child;
}
}
// Number of children = 2
else {
// Get the inorder successor of cur
let tmp = cur.right;
while (tmp.left !== null) {
tmp = tmp.left;
}
// Recursively remove node tmp
this.remove(tmp.val);
// Replace the value of cur with the value of tmp
cur.val = tmp.val;
}
}
}
/* Driver code */
/* Initialize the binary search tree */
const bst = new BinarySearchTree();
// Different insertion orders produce different binary trees; this sequence produces a perfect binary tree
const nums = [8, 4, 12, 2, 6, 10, 14, 1, 3, 5, 7, 9, 11, 13, 15];
for (const num of nums) {
bst.insert(num);
}
console.log('\nThe initialized binary tree is:\n');
printTree(bst.getRoot());
/* Find a node */
const node = bst.search(7);
console.log('\nFound node object: ' + node + ', node value = ' + node.val);
/* Insert a node */
bst.insert(16);
console.log('\nBinary tree after inserting node 16:\n');
printTree(bst.getRoot());
/* Remove a node */
bst.remove(1);
console.log('\nBinary tree after removing node 1:\n');
printTree(bst.getRoot());
bst.remove(2);
console.log('\nBinary tree after removing node 2:\n');
printTree(bst.getRoot());
bst.remove(4);
console.log('\nBinary tree after removing node 4:\n');
printTree(bst.getRoot());