LeetCode Problem: Validate Binary Search Tree | In-Order Traversal Solution in C# Explained
Here's my solution to the LeetCode Problem: Validate Binary Search Tree, implemented in C# using an In-Order Traversal approach. 🚀
💡 Problem Overview:
The goal is to determine if a given binary tree is a valid Binary Search Tree (BST). A BST requires that for each node, all values in the left subtree are less than the node's value, and all values in the right subtree are greater. This solution uses In-Order Traversal to validate the BST properties efficiently.
✅ What You'll Learn in This Video:
How an In-Order Traversal helps check if a binary tree satisfies the BST properties.
Managing state with helper variables to efficiently track validity during traversal.
A clear and structured C# implementation explained step-by-step.
🔔 Highlights of This Solution:
Time Complexity: O(n), as the in-order traversal visits each node exactly once.
Space Complexity: O(h), where h is the height of the tree, due to the recursion stack during traversal.
Core Insight: An In-Order Traversal of a valid BST produces a strictly increasing sequence. By keeping track of the previously visited node's value, you can validate the BST properties efficiently.
💡 This problem is a great practice for mastering binary tree traversal techniques and is essential for anyone preparing for coding interviews or deepening their understanding of tree data structures.
🎥 If you found this explanation helpful, don’t forget to Like 👍, Subscribe 🔔, and Share ↗️ for more algorithm breakdowns, LeetCode solutions, and interview prep tutorials! ✨
#LeetCode #ValidateBinarySearchTree #InOrderTraversal #CSharp #BinaryTree #TreeDataStructures #CodingInterview #Algorithms
Видео LeetCode Problem: Validate Binary Search Tree | In-Order Traversal Solution in C# Explained канала TechWithRohith
💡 Problem Overview:
The goal is to determine if a given binary tree is a valid Binary Search Tree (BST). A BST requires that for each node, all values in the left subtree are less than the node's value, and all values in the right subtree are greater. This solution uses In-Order Traversal to validate the BST properties efficiently.
✅ What You'll Learn in This Video:
How an In-Order Traversal helps check if a binary tree satisfies the BST properties.
Managing state with helper variables to efficiently track validity during traversal.
A clear and structured C# implementation explained step-by-step.
🔔 Highlights of This Solution:
Time Complexity: O(n), as the in-order traversal visits each node exactly once.
Space Complexity: O(h), where h is the height of the tree, due to the recursion stack during traversal.
Core Insight: An In-Order Traversal of a valid BST produces a strictly increasing sequence. By keeping track of the previously visited node's value, you can validate the BST properties efficiently.
💡 This problem is a great practice for mastering binary tree traversal techniques and is essential for anyone preparing for coding interviews or deepening their understanding of tree data structures.
🎥 If you found this explanation helpful, don’t forget to Like 👍, Subscribe 🔔, and Share ↗️ for more algorithm breakdowns, LeetCode solutions, and interview prep tutorials! ✨
#LeetCode #ValidateBinarySearchTree #InOrderTraversal #CSharp #BinaryTree #TreeDataStructures #CodingInterview #Algorithms
Видео LeetCode Problem: Validate Binary Search Tree | In-Order Traversal Solution in C# Explained канала TechWithRohith
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11 июля 2025 г. 23:30:39
00:16:55
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