Master Binary Search Trees: BST Basics, Traversals, Deletion Cases, and Complexity

Binary Search Trees are one of the most important data structures in DSA and coding interviews, but most explanations either stay too theoretical or skip the intuition behind why BSTs work.

In this video on The Logic Blueprint, we build a clear mental model for Binary Search Trees from the ground up:
- what makes a BST different from a normal binary tree
- how search, insert, and delete work
- the key deletion cases you must understand
- inorder, preorder, and postorder traversals
- why BST performance depends on height
- how a balanced tree gives you O(log n), while a skewed tree can collapse to O(n)
- why self-balancing trees like AVL and Red-Black Trees exist

If you are learning data structures, preparing for coding interviews, or trying to truly understand trees instead of memorizing patterns, this video is for you.

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Practice problem resources:
1. LeetCode BST problems
- Validate Binary Search Tree:
https://leetcode.com/problems/validate-binary-search-tree/
- Search in a Binary Search Tree:
https://leetcode.com/problems/search-in-a-binary-search-tree/
- Insert into a Binary Search Tree:
https://leetcode.com/problems/insert-into-a-binary-search-tree/
- Delete Node in a BST:
https://leetcode.com/problems/delete-node-in-a-bst/
- Kth Smallest Element in a BST:
https://leetcode.com/problems/kth-smallest-element-in-a-bst/
Why use it: strong interview-style practice with focused BST variations.

2. GeeksforGeeks BST practice
- Binary Search Tree practice hub:
https://www.geeksforgeeks.org/problems/binary-search-trees/1
- Search a node in BST:
https://www.geeksforgeeks.org/problems/search-a-node-in-bst/1
- Top BST coding problems:
https://www.geeksforgeeks.org/top-50-binary-search-tree-coding-problems-for-interviews/
Why use it: good for breadth, repetition, and implementation-heavy practice.

3. Stanford CS106B tree exercises
- Trees section handout:
https://stanford.edu/class/archive/cs/cs106b/cs106b.1216/section/section7/
- BST lecture archive:
https://web.stanford.edu/class/archive/cs/cs106b/cs106b.1238/lectures/23-bst/
Why use it: trustworthy academic exercises that strengthen conceptual understanding, especially recursion and tree reasoning.

Suggested practice order:
- Start with search / insert / validate BST
- Then do traversals and kth smallest
- Then move to delete node in BST
- Finally compare skewed vs balanced trees and study AVL / Red-Black motivation
#thelogicblueprint #dsa #binarysearch #binarytree #datastructures

Видео Master Binary Search Trees: BST Basics, Traversals, Deletion Cases, and Complexity канала The Logic Blueprint