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Learn how to find the Kth largest element in a binary search tree without modifying the tree. See examples, input, output, constraints and code for this easy problem.
- K’th Largest element in BST using constant extra space
To find Kth largest element in a Binary search tree, the...
- K’th Largest Element in BST when modification to BST is not ...
Last Updated : 29 Oct, 2023. Given a Binary Search Tree...
- K’th Largest element in BST using constant extra space
Kth Largest Element in BST. Find Kth Largest Element in a Binary Search Tree (BST) Difficulty: Medium, Asked-in: Amazon, Google. Key takeaway: an excellent problem to learn problem-solving using inorder traversal and BST augmentation (storing extra information inside BST nodes for solving a problem).
Aug 12, 2022 · Learn how to find the Kth largest element in a binary search tree using reverse Morris traversal, which is based on threaded binary trees. The algorithm uses O(1) extra memory and runs in O(n) time.
Oct 29, 2023 · Learn how to find the k'th largest element in a binary search tree (BST) without modifying the tree. See two methods: reverse inorder traversal and max heap.
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- Algorithm
- Code Implementation
- Time Complexity
- Space Complexity
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The pseudo-code for the above-discussed algorithm can be: 1. Initialize two pointers. 2. The first pointer (currentNode) will point to the root node. 3. The second pointer (KthLargestNode) will point to NULL. 4. Perform the below steps until the currentNode does not becomes NULL. 4.1. If the currentNodehas no right child, increment the counter. 4.2...
Let us code the above-discussed algorithm for better understanding. C++ code: Java code: Python code: When the Inputtree is: And the given value of k is: 3 Output In the reverse morris traversalapproach to the problem - find the kth largest element in bst, we are traversing the input binary search tree only once using the reverse morris traversal a...
Since we are traversing the input binary search tree only once, the time complexity of the reverse morris traversal approach to the problem - find the kthk^{th}kth largest element in bst comes out to be O(n), where nis the size of the input binary search tree.
Since we are not using any extra space, the space complexity of the reverse morris traversal approach to the problem - find the kthk^{th}kth largest element in bst comes out to be O(1).
Learn how to find the kth largest element in a binary search tree using recursive and iterative approaches. See examples, explanations, C++, Java and Python code solutions.
Learn how to find the Kth largest element in a Binary Search Tree (BST) using reverse inorder traversal. Compare recursive and iterative approaches with code examples and edge cases.
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Oct 24, 2021 · Learn how to solve this problem using reverse inorder traversal and recursion. See C++, Java, and Python code examples and output for a binary search tree.
