
In the given problem, we are provided with the root of a Binary Search Tree (BST) and are required to compute the minimum absolute difference between the values of any two different nodes within the tree. The task is to efficiently navigate through the BST, which inherently has its elements sorted according to BST properties, and find the smallest absolute difference possible between any pair of nodes.
Input:
Output:
Input:
Output:
[2, 104].0 <= Node.val <= 105Understanding BST Properties:
Utilizing In-order Traversal:
Calculating Minimum Difference:
[4, 2, 6, 1, 3] yields the values [1, 2, 3, 4, 6].3 and 4 (or 1 and 2, or 2 and 3), each providing a difference of 1.[1, 0, 48, null, null, 12, 49] results in [0, 1, 12, 48, 49].1 - 0 and 49 - 48 each provide the smallest difference, which is 1.105, but this should not affect the algorithm since only differences are taken into account.Using the above approach provides a direct and efficient method leveraging the properties of in-order traversal in a BST to find the minimum absolute difference between any two nodes in the tree. This solution operates in O(n) time complexity since each node is visited precisely once during the in-order traversal.
The solution presented in C++ aims to find the minimum absolute difference between the values of any two nodes in a Binary Search Tree (BST). This approach effectively leverages the properties of BST and in-order traversal to solve the problem with a high degree of efficiency.
** Key elements of the solution include: **
Definition of two private members in the Solution class:
smallestDiff, initialized to INT_MAX to store the minimum difference.TreeNode pointer, lastVisited, initialized to nullptr to keep track of the last node visited during the in-order traversal.The inOrder function is a recursive method that:
nullptr.smallestDiff using the value of the current node and the value of lastVisited if lastVisited is not nullptr.lastVisited pointer to the current node.The findMinDiff function:
smallestDiff as the result after completing the traversal.This solution benefits from the sorted nature of the BST, where an in-order traversal yields values in a non-decreasing order. By checking consecutive elements during this traversal, it efficiently pinpoint the smallest difference without the need for comparing every pair of nodes.
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