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data-structure-with-java / Top 50 Tree Problems
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Top 50 Tree Problems

Tree problems test recursion, traversal, and understanding of hierarchical data structures. They are very common in interviews.

Essential Tree Problems:
  • Maximum Depth of Binary Tree
  • Validate Binary Search Tree
  • Symmetric Tree
  • Binary Tree Level Order Traversal
  • Binary Tree Zigzag Level Order Traversal
  • Serialize and Deserialize Binary Tree
  • Diameter of Binary Tree
  • Invert Binary Tree
  • Subtree of Another Tree
  • Binary Tree Maximum Path Sum
  • Construct Binary Tree from Preorder and Inorder Traversal
  • Binary Search Tree Iterator
  • Lowest Common Ancestor (LCA)
  • Kth Smallest Element in BST
  • Convert Sorted Array to BST
  • Populating Next Right Pointers in Each Node
  • Path Sum III
  • Flatten Binary Tree to Linked List
  • Binary Tree Cameras
  • House Robber III

Strategies:
  • Recursive DFS is natural for trees.
  • BFS (queue) for level order.
  • Use helper functions that return multiple values (e.g., height, max sum).
  • Inorder traversal for BST.

Example: Validate Binary Search Tree (BST)


public boolean isValidBST(TreeNode root) {
return isValid(root, Long.MIN_VALUE, Long.MAX_VALUE);
}

private boolean isValid(TreeNode node, long min, long max) {
if (node == null) return true;
if (node.val <= min || node.val >= max) return false;
return isValid(node.left, min, node.val) && isValid(node.right, node.val, max);
}
Two Minute Drill
  • Tree problems test your recursion and traversal skills.
  • Practice both recursive and iterative solutions.
  • BST properties are often used.
  • Understanding of LCA, diameter, max path sum are critical.

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