Skip to main content

Is Binary Tree?

Given a binary tree,write an algorithm to find if the tree is a binary search tree or not.

Simple Recursive call is good..

int check_tree(bst *node)
{
if(!node)
return TRUE;
if(node->left!=NULL && node->infoleft))
return(false);
if(node->right!=NULL && node->inforight))
return(false);
if(!check_tree(node->left) || !check_tree(node->right))
return(false);
return(true);
}

I have already posted better algorithm in my tree sections earlier.
Set Min and Max to INT_MIN and INT_MAX
bool IsBst( node *root, int min, int max)
{
if (!root) return true;
if ( !isBst( root->left,min,root->info) return false;
if ( !isBst(root->right,root->info,max) return false;
return true;
}

Comments

Popular posts from this blog

Car Parking Problem

There is n parking slots and n-1 car already parked. Lets say car parked with initial arrangement and we want to make the car to be parked to some other arrangement. Lets say n = 5, inital = free, 3, 4, 1, 2 desired = 1, free, 2, 4 ,3 Give an algorithm with minimum steps needed to get desired arrangement. Told by one of my friend and after a lot of search i really got a nice solution. I will post solution in comment part

DEShaw Interview Questions

ther are N numbers frm 1 to N and starting from index 1 we will keep deleting every alternate going in cyclic order with array. Only one element will be left at the end. Tell us the index of element in array we started. e.g. there are 5 nums 1 2 3 4 5 then after 1st iteration 1 3 5 will be remained. .. then 1 will be next to be elliminated and then 5 3 will remain alone... give sum efficient algorithm to calculate which numer will remain at the end Answer: 2*(n-2^p)+1 where p=floor(log2 n)

Scaling application

 We all wish that our application used by maximum people on Earth. To make sure we have the right scalable application, please follow below guidelines  1. Load balancing at all level of application i.e. web server, application server and DB server 2. Remote caching to be enabled for a fast response.  3. Load balancer will equally distribute the traffic to existing servers, what if enough capacity is not enough. We should have a mechanism to increase the server capacity (esp horizontally ).  All the cloud service provider has provision for autoscaling, so do Kubernetes.  Use them.  4. Most of the NoSQL DB comes with good support for horizontal scalability. So if you chosse NoSQL you can easily scale them. But if your application requires RDBMS (SQL) then plan should be with sharding in place.  5. Server should be stateless. Any server should be able to serve an incoming request. No local storage, no IP binding. Having said newly added server will start ...