The "Two Furthest Houses With Different Colors coding problem" asks you to find the maximum possible distance between any two houses in a row that have different colors. You are given an array where each element is an integer representing a color. The distance between two indices i and j is simply |i - j|. The goal is to find the largest such distance among all valid pairs of houses.
This is a common "EASY" problem at Google and Visa because it rewards a "Greedy" insight over a brute-force approach. It tests whether a candidate can identify that the optimal solution must involve one of the houses at the extreme ends of the array. It's a great way to gauge if a developer looks for optimizations even for simple tasks.
The "Array, Greedy interview pattern" is used here. Because we want to maximize the distance, the best candidates for the pair are the first house and the last house.
Colors: [1, 8, 3, 8, 1]
[1, 8, 3, 3, 3], comparing the first house (1) and the last house (3) would immediately give a distance of 4.The biggest pitfall is using a nested loop, which makes the time complexity . While correct, it's inefficient for large house arrays. Another mistake is assuming that the first and last houses must be different colors, which isn't always true. You must be able to handle cases where the ends are the same color by looking for the next best candidate.
When solving the "Two Furthest Houses With Different Colors interview question," always consider the "Extreme Boundaries." In array problems involving maximum distance or span, the elements at index 0 and index are almost always involved in the optimal solution.