Count minimum cost in binary tree
Last updated: December 21, 2025
Quick Overview
Count the number of kth largest element in the given binary tree.
Netflix
December 21, 202596
13
3,954 solved
Count the number of kth largest element in the given binary tree.
This coding problem is frequently asked during Onsite at Netflix. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. Netflix expects candidates to write production-quality code, not just solve the puzzle.
What the Interviewer Expects
- Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
- Discuss multiple approaches and trade-offs before coding
- Implement an optimal solution with clean, production-quality code
- Handle all edge cases including boundary conditions and invalid input
- Optimize both time and space complexity with clear justification
- Test your solution systematically with well-chosen examples
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- Can you optimize the space complexity of your solution?
- How would you test this solution thoroughly?
- What happens if the input contains duplicates?
Sharpen Your Skills on Codemia
Practice similar problems with our interactive workspace, get AI feedback, and track your progress.
Practice DSA ProblemsSample Answer
Problem Analysis
To solve the problem of counting the number of k-th largest elements in a binary tree, we can recognize that this is fundamentally a tree traversal problem with a need to maintain order statistics. Th...
Approach
- Traversal: Use a DFS approach to traverse the binary tree. Starting from the root, visit the right subtree first, then the node, and finally the left subtree. This ensures we explore the larges...
Submit Your Answer
