Showing 20 of 20 questions
Easy: 0
Medium: 0
Hard: 0
Overview
Trees are hierarchical data structures fundamental to many algorithms. This section covers tree traversal, manipulation, and advanced tree-based algorithms.
Key Concepts
- Tree traversal (inorder, preorder, postorder, level-order)
- Binary search trees (BST)
- Tree height and depth
- Balanced trees
- Lowest common ancestor
- Path sum problems
Common Problems
Easy
- Maximum Depth of Binary Tree
- Invert Binary Tree
- Symmetric Tree
- Same Tree
Medium
- Binary Tree Level Order Traversal
- Validate Binary Search Tree
- Lowest Common Ancestor
- Path Sum II
Hard
- Binary Tree Maximum Path Sum
- Serialize and Deserialize Binary Tree
- Recover Binary Search Tree
Practice Tips
- Recursion first: Most tree problems have elegant recursive solutions
- Base cases: Handle null nodes carefully
- Traversal choice: Pick the right traversal for the problem
- Iterative solutions: Practice stack-based iterative traversals