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Grokking the Coding Interview Patterns in C++

Two City Scheduling

Explore how to solve the Two City Scheduling problem by applying greedy algorithms to minimize total costs while ensuring exactly half of the candidates are assigned to each city. Learn to assess costs, use sorting strategies, and implement efficient solutions within given constraints.

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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] ...