Binary Search Tree
Binary Search Tree is a node-based binary tree data structure which has the following properties:
- The left subtree of a node contains only nodes with keys lesser than the node’s key.
- The right subtree of a node contains only nodes with keys greater than the node’s key.
- The left and right subtree each must also be a binary search tree.
Apart from definitions, there are other important topics on Binary Search Tree that you must prepare/revise before the technical Coding round, such as:
Along with these, below are a list of must-do problems on Binary search tree for this DSA Crash Course:
DSA Crash Course | Revision Checklist with Interview Guide
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Below are the topics we will be covering in this article:
Table of Content
- 1. Array
- 2. String
- 3. LinkedList
- 4. Stack
- 5. Queue
- 6. Tree
- 7. Binary Search Tree
- 8. Graph
- 9. Trie
- 10. Heap
- 11. Hash
- 12. Recursion
- 13. Backtracking
- 14. Dynamic Programming
- 15. Greedy Algorithms
- 16. Sorting and Searching
- 17. Pattern Searching
- 18. Divide and Conquer Algorithms
- 19. Number Theory
- 20. Bit Manipulation