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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited vaccine doses to different regions during a pandemic where each region has varying infection rates and healthcare capacity. Maximize vaccination coverage while minimizing transportation delays.
More Problems
You are given a set of jobs in a high-performance computing cluster where each job has different execution times, memory requirements, and priority levels. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.
Design a Greedy algorithm to allocate limited funds to social welfare programs where each program has varying costs, public benefits, and societal impact. Maximize total social impact while minimizing budget overuse.
You are tasked with scheduling the deployment of autonomous vehicles in a city where each vehicle has different routes, capacities, and operational costs. Maximize total passenger service while minimizing operational expenses.
Design a Greedy algorithm to allocate public transportation vehicles during peak hours where each route has varying passenger demand, travel times, and costs. Maximize total passenger service while minimizing traffic congestion.
You are given a set of projects in a tech company where each project has different development times, resource needs, and market potential. Implement a Greedy algorithm to maximize total project success while minimizing delays.
Design a Greedy algorithm to allocate limited medical resources in a hospital during an emergency where each department has varying patient loads and supply needs. Maximize patient treatment while minimizing supply shortages.
You are tasked with scheduling the repair of critical infrastructure in a city where each project has varying costs, timelines, and public benefits. Maximize the number of repairs completed while minimizing public disruptions.
Design a Greedy algorithm to allocate limited computing resources in a cloud environment where each user has varying processing needs and deadlines. Maximize total user satisfaction while minimizing resource wastage.
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