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Grokking the Coding Interview Patterns in JavaScript

Solution: Two City Scheduling

Understand how to apply a greedy algorithm to minimize costs in the two city scheduling problem. This lesson guides you through sorting cost differences and assigning candidates efficiently to two cities, helping you grasp optimal decision-making in interview scheduling challenges.

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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 ...