Search⌘ K
AI Features

Solution: Two City Scheduling

Explore the Two City Scheduling problem where you minimize costs by allocating candidates evenly across two cities. Understand the greedy technique of sorting based on cost differences, and learn how to apply this approach to efficiently solve scheduling and optimization problems often seen in coding interviews.

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 ...