Search⌘ K
AI Features
Home
Courses
Grokking the Coding Interview Patterns in Python

Solution: Two City Scheduling

Explore how to apply a greedy algorithm to solve the Two City Scheduling problem by minimizing total costs. Understand sorting candidates by cost difference and allocating interviews evenly to each city while optimizing expenses.

We'll cover the following...

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 ...