Objective: Given a sorted array with unique elements, Create a binary search tree with minimal height.

Why minimal height is important :

We can do the linear scan to the array and make the first element as root and insert all other elements into the tree but in that case tree will be skewed , which means all the nodes of the tree will be on the one side of the root so the height of the tree will be equal to the number of elements in the array. So here our objective is to keep the tree balanced as much as possible.

What is balanced Tree: A balanced tree is a tree in which difference between heights of sub-trees of any node in the tree is not greater than one. To read more about balanced tree, click here

Input: A one dimensional array

Output: Binary Search Tree of Minimal Height

Example:

Sorrted Array To BST Example

Approach:

Recursion:

Get the middle of the array

make it as root. (By doing this we will ensure that half of the elements of array will be on the left side of the root and half on the right side.)

Take the left half of the array, call recursively and add it to root.left.

Take the right half of the array, call recursively and add it to root.right.

return root.

Array To BST Recursion

Complete Code:

Output:

Tree Display :
2 3 6 7 8 9 12 15 16 18 20

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If you find anything incorrect or you feel that there is any better approach to solve the above problem, please write comment.
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