Implementing Binary Search Tree and It's Basic Operation in Go

In the world of data structures, the Binary Search Tree (BST) is a fundamental concept. It is a hierarchical data structure where each node has at most two children ordered in a specific manner. This structure ensures O(log n) time complexity for insertion, searching, and deletion in a balanced BST.

We’ll implement a BST in Go (Golang) and explore its core functionalities step by step.

• Defining the Node

At the core of any BST is the Node. Each node holds a value and references to its left and right children. Here’s how we define it in Go:

• Designing the BST Operations

To keep our implementation structured, we define an interface that outlines the fundamental operations of a BST. It defines a contract, ensuring that our BST has essential methods. Here’s how we do it in Go:

• Implementing the Binary Search Tree

Now we can create a BinarySearchTree struct that implements the interface methods.

The below implementation shows how to insert a value into the BST and return the updated root node.

The below implementation shows how to perform a pre-order traversal (Root → Left → Right) and print the values in Go.

The below implementation shows how to perform a post-order traversal (Left → Right → Root) and print the values in Go.

The below implementation shows how to perform an in-order traversal (Left → Root → Right) and print the values in sorted order in Go.

The below implementation shows how to return the minimum value in the BST in Go.

The below implementation shows how to return the maximum value in the BST in Go.

The below implementation shows how to check if a value exists in the BST and returns true if found, otherwise false in Go.

In the end, we have our main function to test them out.

Find complete source code Here

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