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Amazon·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Amazon SWE coding round, one algorithmic problem on array manipulation. Pretty clean question once you see the pattern, but I spent too long trying to think of something clever before realizing the greedy insight was right there.

Questions Asked (1)

Q1

You're given an array of server computational powers. In a single operation, you can choose any contiguous subarray and add some non-negative value to every element in it. What's the minimum total sum of all added values needed to make the array non-decreasing?

Algorithms & Data Structures
Author's notes

I kept overthinking this.

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AI HintsAI Generated

Suggested Approach

First, clarify the problem and constraints, then derive the minimum total increment by analyzing the difference array. The key insight is that each operation on a contiguous subarray corresponds to adding a value to a range in the difference array, and the minimum total sum is the sum of all negative differences (or equivalently, the sum of positive differences).

Pro tip: Always discuss edge cases like already non-decreasing arrays or arrays with all equal elements, and mention that the solution runs in O(n) time and O(1) extra space, which is optimal.

1. Clarify the problem

Restate the problem in your own words and ask clarifying questions about constraints, input size, and whether the added values must be integers.

2. Identify the core operation

Recognize that adding a value to a contiguous subarray is equivalent to adding that value to a range in the difference array, which simplifies the problem.

3. Derive the minimum total sum

Show that to make the array non-decreasing, the total added sum must be at least the sum of all negative differences, and this bound is achievable by incrementing appropriate subarrays.

4. Prove optimality

Explain why the sum of negative differences is a lower bound and how to construct operations that achieve it, ensuring the array becomes non-decreasing.

5. Analyze complexity and edge cases

State that the algorithm runs in O(n) time and O(1) space, and discuss edge cases such as already non-decreasing arrays or arrays with all equal elements.

Key Points to Mention

  • Difference array concept: transforming the problem into operations on differences.
  • Lower bound: sum of negative differences (or positive differences) is necessary.
  • Achievability: construct operations to achieve the lower bound.
  • Time and space complexity: O(n) time, O(1) extra space.
  • Edge cases: already non-decreasing, all equal, single element.
  • Relation to making array non-decreasing by only increasing elements.

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