In the previous post, we discussed about how we can deconstruct a programming problem to use recursion to our advantage. We will continue to discuss about programming in this post as well. If you are not prepared to look at code, you may want to skip this post and proceed to the next one in the series. If not, continue reading! Let’s continue to talk about trees then. By now, you understand enough about trees for me to not discuss the basics. If you want a refresher on trees, please read my previous post. In this post, we will look at some common recursive programming problems. You will see the problem and the recursive code to solve it, but not the explanation. We have already discussed how to understand a recursive function in full depth. It’s up to you to understand what’s happening inside these functions here.

**Finding the least common ancestor**

Given two nodes in a tree, find the node that is the least common ancestor. Here’s the recursive method to do it:

class node
{
public:
int data;
node* lchild;
node* rchild;
};
node* leastCommonAncestor(node* root, node* a, node*b)
{
if(root == NULL)
return NULL;
else
{
if(root == a || root == b)
return root;
else
{
node* temp_left = leastCommonAncestor(root->lchild, a, b);
node* temp_right = leastCommonAncestor(root->rchild, a, b);
if(temp_left && temp_right)
return root;
else
return temp_left==NULL?temp_right:temp_left;
}
}
}

**Find the height of a given binary tree**

Given a binary tree, find its height. Here, the height corresponds to the maximum height of tree (distance of the root from the furthest leaf node).

int maxdepth(node* root)
{
if(root == NULL)
return 0;
else
{
int ldepth = maxdepth(root->lchild);
int rdepth = maxdepth(root->rchild);
return(max(ldepth,rdepth)+1);
}
}

**Print all the nodes at a given level**

Given a binary tree and a level, print all the nodes that are in that level.

void printLevelNodes(node* root, int cur_level, int level)
{
if(root == NULL || cur_level>level)
return;
else
{
if(cur_level == level)
{
cout << "%d\n" << root->value << endl;
return;
}
else
{
printLevelNodes(root->left, cur_level+1, level);
printLevelNodes(root->right, cur_level+1, level);
}
}
}

Up until now, we looked at recursion from the programmer’s perspective. In the next post, we will discuss about how the machine sees this whole thing. We will see what it does once we make the recursive call.

————————————————————————————————-

### Like this:

Like Loading...

*Related*

## Published by Prateek Joshi

Founder of Plutoshift. Author of 13 books on Machine Learning. Featured on Forbes, NBC, Bloomberg, CNBC, TechCrunch, Silicon Valley Business Journal, and more. Speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Sensors Expo. You can learn more about me here: www.prateekj.com
View all posts by Prateek Joshi

## One thought on “Understanding Recursion: Part 3/4”