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Find 2nd Largest in BST Efficiently by Ankit Shah is a document available to read on EtoBox.
This document discusses an algorithm to find the second largest element in a binary search tree (BST) in O(h) time and O(1) space, where h is the height of the tree. It first provides a sample BST node class. It then explains that naively traversing the entire tree would require O(n) time. The key insights are that the second largest element is either the largest element in the left subtree of the largest node, or the largest node itself if it has no children. The algorithm traverses the tree once, handling
- Author
- Ankit Shah
- Language
- EN