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Bytedance·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
May 2026

Summary

Bytedance SWE interview threw a classic hard algorithm problem at me. The histogram rectangle question is one of those problems where you either know the trick or you're cooked.

Questions Asked (1)

Q1

Given an array of integers representing the heights of histogram bars (each of unit width), find the area of the largest rectangle that can be formed within the histogram.

Algorithms & Data Structures
Author's notes

You need a monotonic increasing stack of indices.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and discussing a brute-force O(n^2) approach, then optimize using a monotonic stack to achieve O(n) time. Walk through the algorithm step-by-step, emphasizing how the stack maintains indices of bars in increasing height order to efficiently compute the maximum area.

Pro tip: Mention that this problem is a classic example of using a monotonic stack to solve 'next smaller element' problems, and that the same technique applies to similar problems like trapping rain water or maximal rectangle in a binary matrix. Also, discuss edge cases like empty input or all equal heights to show thoroughness.

1. Understand and Clarify

Restate the problem in your own words and ask clarifying questions about input constraints, expected output, and edge cases.

2. Discuss Brute Force

Explain a simple O(n^2) solution: for each bar, expand left and right to find the maximum width with height at least that bar's height.

3. Introduce Monotonic Stack

Describe how a stack can maintain indices of bars in increasing order of height, allowing O(n) computation by finding left and right boundaries for each bar.

4. Walk Through Example

Trace the algorithm on a small example (e.g., [2,1,5,6,2,3]) to demonstrate how the stack updates and areas are calculated.

5. Analyze Complexity and Edge Cases

State time and space complexity (O(n) time, O(n) space) and discuss handling of edge cases like empty array, single bar, or strictly increasing/decreasing heights.

Key Points to Mention

  • Monotonic stack technique for finding next smaller element
  • Time complexity O(n) and space complexity O(n)
  • Handling of left and right boundaries for each bar
  • Sentinel values (e.g., adding a 0 at the end) to simplify stack popping
  • Comparison with brute-force O(n^2) approach
  • Edge cases: empty input, all bars same height, increasing/decreasing order

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.