Summary
I had a coding round with Twitter where I was given an array manipulation problem. I successfully implemented a solution for the 'Minimum Moves to Equal Array Elements' problem.
Full Experience
I recently interviewed with Twitter for a coding position. The interview consisted of a coding round where I was presented with a problem involving an array of integers. The task was to find the minimum number of operations to make all elements of the array equal, where an operation involved incrementing n-1 elements by one. I approached the problem by first understanding that incrementing n-1 elements is mathematically equivalent to decrementing one element relative to the others. Thus, the problem effectively reduces to making all elements equal to the minimum element in the array by only decrementing. My solution involved sorting the array in descending order and then iterating through it to sum the necessary moves.
Interview Questions (1)
Given an integer array numbers of size n, you can perform an operation where you increment n-1 elements by 1. Find the minimum number of operations required to make all elements of the array equal.
Summary
I successfully navigated a coding round at Twitter, where I was presented with the "Closest Numbers" problem and provided a Python solution.
Full Experience
During my coding round at Twitter, I was tasked with solving the "Closest Numbers" problem. I was able to devise an efficient approach and implemented a solution in Python, which I believe addressed the problem requirements effectively.
Interview Questions (1)
Given an unsorted array of distinct integers, find all pairs of elements that have the minimum absolute difference between them. If there are multiple pairs with the same minimum difference, return all of them. For example, if the input array is [-20, -3916237, -357920, -3620601, 7374819, -7330761, 30, 6246457, -6461594, 266854], the output should be the pairs that have the smallest difference.