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Grokking the Coding Interview Patterns in JavaScript

Solution: Two City Scheduling

Explore a greedy algorithm solution to the Two City Scheduling problem. Understand how sorting candidates by cost difference helps minimize the total interview cost while evenly distributing candidates between two cities. Learn to implement this approach efficiently with clear time and space complexity insights.

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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 ...