What is Binary Search Tree in C#?

A Binary Search Tree is a binary tree with a search property where the elements in the left sub-tree are less than the root and elements in the right sub-tree are greater than the root. For example: Inserting an element in a BST (Binary Search Tree):

How is a Binary Search Tree implemented C#?

C# program to implement Binary Search Tree

• Set the parent node to be the current node, which is the root node.
• If the data value in the new node is less than the data value in the current node, set the current node to be the left child of the current node.

What is Binary Search Tree algorithm?

Binary Search Tree(BST) Binary search tree is a data structure that quickly allows us to maintain a sorted list of numbers. It is called a binary tree because each tree node has a maximum of two children. It is called a search tree because it can be used to search for the presence of a number in O(log(n)) time.

Why do we use binary search tree?

The main reason to use a binary search tree is the fact that it extends the capability of a normal array. An array is a data type that stores data points contiguously in sequence.

What are the benefits of the binary search tree?

The major advantage of binary search trees over other data structures is that the related sorting algorithms and search algorithms such as in-order traversal can be very efficient . Binary search trees are a fundamental data structure used to construct more abstract data structures such as sets, multisets, and associative arrays .

What is a valid binary search tree?

“Validating” a binary search tree means that you check that it does indeed have all smaller items on the left and large items on the right. Essentially, it’s a check to see if a binary tree is a binary search tree.

How do you insert into a binary tree?

Insertion in a Binary Tree in level order. Given a binary tree and a key, insert the key into the binary tree at first position available in level order. The idea is to do iterative level order traversal of the given tree using queue. If we find a node whose left child is empty, we make new key as left child of the node.