### Minimum and Maximum element in Binary Search Tree

Minimum and Maximum elements of a Binary Search Tree can be found very easily.
If we see the insertion method of a Binary Search Tree we see that if the new element is greater than the current node data then we move to its right subtree ,Similarly if the new Element is less than the current node data we move to its left subtree.

Hence we can easily infer that the smallest element of the Binary Search Tree must be the leftmost node of the tree.
Similarly we can say also infer that largest element should be the rightmost node of the tree.

The following image makes the above statement more clear.

In the above figure we see that 1 is the smallest element of the tree which is also the leftmost node of the tree and 14 is the largest element of the tree is rightmost node of the binary tree.

To know more about binary search tree click here.

To see more operations of binary search tree Visit the following Links

Binary Search tree in C++
Binary Search tree in Python

### C++ Program

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Height of Binary Search Tree
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### Infix to Prefix conversion using Stack

This post is about conversion of Infix expression to Prefix conversion. For this conversion we take help of stack data structure, we need to push and pop the operators in and out of the stack.

Infix expressions are the expressions that we normally use,eg. 5+6-7; a+b*c etc. Prefix expressions are the expressions in which the 2 operands are preceded by the operator eg. -+567 , +a*bc etc.

This method is very similar to the method that we used to convert Infix to Postfix but the only difference is that here we need to reverse the input string before conversion and then reverse the final output string before displaying it.

NOTE: This changes one thing that is instead of encountering the opening bracket we now first encounter the closing bracket and we make changes accordingly in our code.

So, to convert an infix expression to a prefix expression we follow the below steps
(we have 2 string, 1st is the input infix expression string 2nd is the output string which is empty initially)

We first revers…

Hashing is a technique used for storing , searching and removing elements in almost constant time. Hashing is done with help of a hash function that generates index for a given input, then this index can be used to search the elements, store an element, or remove that element from that index.

A hash function is a function that is used to map the data elements to their position in the data structure used. For example if we use an array to store the integer elements then the hash function will generate position for each element so that searching, storing and removing operation on the array can be done in constant time that is independent of the number of elements in the array. For better look at the example below.

now we face a problem if for 2 numbers same position is generated example consider elements 1 and 14

1 % 13 = 1

14 % 13 = 1

so when we get 1 we store it at the first position, but when we get 14 we see that the position 1 is already taken, this is a case of collision.

Inorder…