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The Lowest Common Ancestor (LCA) of a Binary Search Tree (BST) is a fascinating problem that often arises in the domain of data structures and algorithms. In this blog, we will explore the intricacies of finding the LCA of a BST and provide a step-by-step solution. By understanding the underlying concepts and examining implementation examples, you will gain the knowledge and skills needed to tackle this problem with confidence.   Understanding the Problem: Given a Binary Search Tree and two nodes, our goal is to find their lowest common ancestor. The LCA is the deepest node in the BST that is an ancestor of both given nodes. It represents the shared parent node of the two nodes in the BST hierarchy.   Approach: To find the LCA of two nodes in a BST, we can leverage the characteristics of a BST and utilize a recursive approach. The key steps of the algorithm are as follows: Start from the root of the BST. Compare the values of the current node with the values of the two given n...