# Factor Tree of a given Number

Factor Tree is an intuitive method to understand the factors of a number. It shows how all the factors are been derived from the number. It is a special diagram where you find the factors of a number, then the factors of those numbers, etc until you can’t factor anymore. The ends are all the prime factors of the original number.

Example:

Input : v = 48 Output : Root of below tree 48 /\ 2 24 /\ 2 12 /\ 2 6 /\ 2 3

The factor tree is created recursively. A binary tree is used.

- We start with a number and find the minimum divisor possible.
- Then, we divide the parent number by the minimum divisor.
- We store both the divisor and quotient as two children of the parent number.
- Both the children are sent into function recursively.
- If a divisor less than half the number is not found, two children are stored as NULL.

`// C++ program to construct Factor Tree for ` `// a given number ` `#include<bits/stdc++.h> ` `using` `namespace` `std; ` ` ` `// Tree node ` `struct` `Node ` `{ ` ` ` `struct` `Node *left, *right; ` ` ` `int` `key; ` `}; ` ` ` `// Utility function to create a new tree Node ` `Node* newNode(` `int` `key) ` `{ ` ` ` `Node* temp = ` `new` `Node; ` ` ` `temp->key = key; ` ` ` `temp->left = temp->right = NULL; ` ` ` `return` `temp; ` `} ` ` ` `// Constructs factor tree for given value and stores ` `// root of tree at given reference. ` `void` `createFactorTree(` `struct` `Node **node_ref, ` `int` `v) ` `{ ` ` ` `(*node_ref) = newNode(v); ` ` ` ` ` `// the number is factorized ` ` ` `for` `(` `int` `i = 2 ; i < v/2 ; i++) ` ` ` `{ ` ` ` `if` `(v % i != 0) ` ` ` `continue` `; ` ` ` ` ` `// If we found a factor, we construct left ` ` ` `// and right subtrees and return. Since we ` ` ` `// traverse factors starting from smaller ` ` ` `// to greater, left child will always have ` ` ` `// smaller factor ` ` ` `createFactorTree(&((*node_ref)->left), i); ` ` ` `createFactorTree(&((*node_ref)->right), v/i); ` ` ` `return` `; ` ` ` `} ` `} ` ` ` `// Iterative method to find the height of Binary Tree ` `void` `printLevelOrder(Node *root) ` `{ ` ` ` `// Base Case ` ` ` `if` `(root == NULL) ` `return` `; ` ` ` ` ` `queue<Node *> q; ` ` ` `q.push(root); ` ` ` ` ` `while` `(q.empty() == ` `false` `) ` ` ` `{ ` ` ` `// Print front of queue and remove ` ` ` `// it from queue ` ` ` `Node *node = q.front(); ` ` ` `cout << node->key << ` `" "` `; ` ` ` `q.pop(); ` ` ` `if` `(node->left != NULL) ` ` ` `q.push(node->left); ` ` ` `if` `(node->right != NULL) ` ` ` `q.push(node->right); ` ` ` `} ` `} ` ` ` `// driver program ` `int` `main() ` `{ ` ` ` `int` `val = 48;` `// sample value ` ` ` `struct` `Node *root = NULL; ` ` ` `createFactorTree(&root, val); ` ` ` `cout << ` `"Level order traversal of "` ` ` `"constructed factor tree"` `; ` ` ` `printLevelOrder(root); ` ` ` `return` `0; ` `} ` |

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Output:

Level order traversal of constructed factor tree 48 2 24 2 12 2 6 2 3

This article is contributed by **Suprotik Dey**. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

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