Time complexity: Time complexity in computer science is the computational complexity of the program which means the total amount of time it takes to run the algorithm . It will assessed by counting the number of fundamental operations made by the algorithm. Binary search tree: Binary search tree is a tree; the nodes are sorted in the semantic order. Binary search tree has the shape of binary tree. Nodes in the binary search tree can have zero, one, or two children. In a binary search tree, any node value is greater than the left sub tree and lesser than the right sub tree. Node without children is called a leaf or end node. A node that does not have a superior node is called a root node. Root node is the starting node. The binary search will be performed until finding a search node or reaching the end of the tree.

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Chapter 25.2, Problem 25.2.4CP

Program Plan Intro

Time complexity:

Time complexity in computer science is the computational complexity of the program which means the total amount of time it takes to run the algorithm.

It will assessed by counting the number of fundamental operations made by the algorithm.

Binary search tree:

Binary search tree is a tree; the nodes are sorted in the semantic order.

Binary search tree has the shape of binary tree.

Nodes in the binary search tree can have zero, one, or two children.

In a binary search tree, any node value is greater than the left sub tree and lesser than the right sub tree.

Node without children is called a leaf or end node.

A node that does not have a superior node is called a root node.

Root node is the starting node.

The binary search will be performed until finding a search node or reaching the end of the tree.

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