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Solution: Two City Scheduling

Explore how to apply a greedy algorithm to minimize the total cost of inviting candidates to interviews in two different cities. This lesson guides you through sorting candidates by cost differences and selecting half for each city, enabling you to solve similar optimization problems efficiently using C++.

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 AA is aCostiaCost_i ...