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Mastering DSA(Data Structures and Algorithm) in java || Validating a Binary Search Tree

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This video covers various topics related to binary search trees. Make sure to check out the accompanying playlist for more:
The time complexity of the isValidBST function that validates whether a given binary tree is a valid Binary Search Tree (BST) is O(n), where n is the number of nodes in the tree.
Let's break down the time complexity of the recursive approach and understand why it's O(n):
In the worst case, each node of the tree needs to be visited once to validate the BST property.
For each node, a constant amount of work is done to check the validity of that node.
Since each node is visited once, the total time complexity is proportional to the number of nodes, which is O(n).
Now, let's discuss the recursive approach's logic and how it contributes to the time complexity:
In this video, we dive deep into the essential topic of validating a Binary Search Tree (BST) using Java. Understanding how to determine if a given binary tree adheres to the BST property is crucial for mastering Data Structures and Algorithms. We'll explore both the recursive and iterative approaches, providing you with a comprehensive understanding of the validation process.
🔥 Video Highlights:
Explanation of the Binary Search Tree (BST) properties.
Recursive approach: Detailed walk-through of the algorithm.
Iterative approach: Simulating an inorder traversal.
Implementation and code demonstration in Java.
Testing with various scenarios, including edge cases.
Time complexity analysis.
📂 Keywords:
Binary Search Tree, BST validation, Java programming, Data Structures, Algorithms, Coding tutorial, DSA, Inorder traversal, Recursion, Iteration, Technical interview preparation, Coding challenges, Tree traversal.
🏷️ Tags:
#BinarySearchTree #JavaProgramming #DataStructures #Algorithms #CodingTutorial #DSAMasterclass #JavaCoding #InorderTraversal #Recursion #Iteration #TechnicalInterview #CodingChallenges #TreeTraversal
Join us in unraveling the intricacies of validating Binary Search Trees, an indispensable skill for any programmer. Enhance your problem-solving abilities and coding interviews readiness by mastering this essential topic. Don't forget to like, share, and subscribe for more in-depth DSA tutorials and coding insights.
Happy coding! 🚀
VSCODE used to solve DSA
The time complexity of the isValidBST function that validates whether a given binary tree is a valid Binary Search Tree (BST) is O(n), where n is the number of nodes in the tree.
Let's break down the time complexity of the recursive approach and understand why it's O(n):
In the worst case, each node of the tree needs to be visited once to validate the BST property.
For each node, a constant amount of work is done to check the validity of that node.
Since each node is visited once, the total time complexity is proportional to the number of nodes, which is O(n).
Now, let's discuss the recursive approach's logic and how it contributes to the time complexity:
In this video, we dive deep into the essential topic of validating a Binary Search Tree (BST) using Java. Understanding how to determine if a given binary tree adheres to the BST property is crucial for mastering Data Structures and Algorithms. We'll explore both the recursive and iterative approaches, providing you with a comprehensive understanding of the validation process.
🔥 Video Highlights:
Explanation of the Binary Search Tree (BST) properties.
Recursive approach: Detailed walk-through of the algorithm.
Iterative approach: Simulating an inorder traversal.
Implementation and code demonstration in Java.
Testing with various scenarios, including edge cases.
Time complexity analysis.
📂 Keywords:
Binary Search Tree, BST validation, Java programming, Data Structures, Algorithms, Coding tutorial, DSA, Inorder traversal, Recursion, Iteration, Technical interview preparation, Coding challenges, Tree traversal.
🏷️ Tags:
#BinarySearchTree #JavaProgramming #DataStructures #Algorithms #CodingTutorial #DSAMasterclass #JavaCoding #InorderTraversal #Recursion #Iteration #TechnicalInterview #CodingChallenges #TreeTraversal
Join us in unraveling the intricacies of validating Binary Search Trees, an indispensable skill for any programmer. Enhance your problem-solving abilities and coding interviews readiness by mastering this essential topic. Don't forget to like, share, and subscribe for more in-depth DSA tutorials and coding insights.
Happy coding! 🚀
VSCODE used to solve DSA