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Grokking the Coding Interview Patterns in C++

Solution: Two City Scheduling

Understand how to apply a greedy algorithm to solve the Two City Scheduling problem by minimizing the total cost of inviting candidates evenly to two locations. Learn to sort candidates based on cost differences and allocate them efficiently to achieve cost optimization.

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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 ...