Added Implementation of BST

This commit is contained in:
Mohit Sharma
2017-08-04 18:04:20 +05:30
committed by GitHub
parent 6a1344dcb3
commit 1dc9555435

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/*Binary Search Tree!!
*
* Nodes that will go on the Binary Tree.
* They consist of the data in them, the node to the left, the node
* to the right, and the parent from which they came from.
*
* A binary tree is a data structure in which an element
* has two successors(children). The left child is usually
* smaller than the parent, and the right child is usually
* bigger.
*/
// Node in the tree
function Node(val) {
this.value = val;
this.left = null;
this.right = null;
}
// Search the tree for a value
Node.prototype.search = function(val) {
if (this.value == val) {
return this;
} else if (val < this.value && this.left != null) {
return this.left.search(val);
} else if (val > this.value && this.right != null) {
return this.right.search(val);
}
return null;
}
// Visit a node
Node.prototype.visit = function() {
// Recursively go left
if (this.left != null) {
this.left.visit();
}
// Print out value
console.log(this.value);
// Recursively go right
if (this.right != null) {
this.right.visit();
}
}
// Add a node
Node.prototype.addNode = function(n) {
if (n.value < this.value) {
if (this.left == null) {
this.left = n;
} else {
this.left.addNode(n)
}
} else if (n.value > this.value) {
if (this.right == null) {
this.right = n;
} else {
this.right.addNode(n);
}
}
}
function Tree() {
// Just store the root
this.root = null;
}
// Inorder traversal
Tree.prototype.traverse = function() {
this.root.visit();
}
// Start by searching the root
Tree.prototype.search = function(val) {
var found = this.root.search(val);
console.log("Found:"+found.value);
}
// Add a new value to the tree
Tree.prototype.addValue = function(val) {
var n = new Node(val);
if (this.root == null) {
this.root = n;
} else {
this.root.addNode(n);
}
}
//Implementation of BST
var bst = new Tree();
bst.addValue(6);
bst.addValue(3);
bst.addValue(9);
bst.addValue(2);
bst.addValue(8);
bst.addValue(4);
bst.traverse();
bst.search(8);