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Grokking the Coding Interview Patterns in JavaScript

Solution: Two City Scheduling

Explore a greedy algorithm technique to solve the Two City Scheduling problem where you invite half the candidates to each city to minimize total interview costs. Understand sorting by cost differences and learn how to implement an efficient solution with O(n log n) time complexity. This lesson helps you apply greedy patterns to optimize resource allocation challenges in coding interviews.

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Statement

A recruiter plans to hire n\textbf{\textit{n}} people and conducts their interviews at two different locations of the company. He evaluates the cost of inviting candidates to both these locations. The plan is to invite 50% at one location, and the rest at the other location, keeping costs to a minimum.

We are given an array, costs, where costs[i]=[aCosti,bCosti]costs[i] = [aCost_i, bCost_i], the cost of inviting the ithi^{th} person to City ...