Google | Online Assessment | Must Have Experience
Summary
I recently experienced an online interview with Google, where I successfully navigated the 'Maximum Subarray Sum' problem by implementing Kadane's algorithm.
Full Experience
I recently had an online interview with Google, and I wanted to share my experience tackling the 'Maximum Subarray Sum' question. This problem is a classic algorithmic challenge that tests your ability to find the most efficient solution for a common computational problem. During the interview, I explained my thought process before diving into the code. I chose Kadane's algorithm, which efficiently finds the maximum subarray sum in a single pass through the array. This approach has a time complexity of O(n), making it optimal for this problem.
Interview Questions (1)
Problem Statement:
Given an array of integers, find the contiguous subarray with the largest sum. The array can contain both positive and negative integers.
Example:
Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4] Output: 6 (Explanation: The subarray [4, -1, 2, 1] has the largest sum.)