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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate cloud storage across users where each user has varying storage needs and access requirements. Maximize total storage utilization while minimizing server overload.
More Problems
You are tasked with scheduling the repair of critical infrastructure in a city where each repair has varying costs, timelines, and impact on the public. Maximize the number of repairs completed while minimizing public disruptions.
Design a Greedy algorithm to allocate computing power to different research teams where each team has varying data processing needs and scientific potential. Maximize research output while minimizing server usage.
You are given a set of delivery trucks with varying payload capacities, fuel consumption rates, and delivery times. Implement a Greedy algorithm to maximize the number of deliveries made while minimizing fuel usage.
Design a Greedy algorithm to allocate bandwidth to multiple online platforms where each platform has different viewer engagement, data usage, and revenue potential. Maximize total platform revenue while minimizing bandwidth congestion.
You are tasked with scheduling the repair of bridges in a city where each bridge has different traffic volumes, repair costs, and downtime. Design a Greedy algorithm to maximize the number of bridges repaired while minimizing traffic disruptions.
Design a Greedy algorithm to allocate limited healthcare resources to hospitals where each hospital has different patient loads and supply needs. Maximize total patient care while minimizing resource shortages.
You are given a set of buses with varying capacities and fuel consumption rates. Implement a Greedy algorithm to allocate buses to routes where each route has different distances and passenger loads. Maximize the number of passengers served while minimizing fuel costs.
Design a Greedy algorithm to allocate limited bandwidth in a 5G network where each user has different data requirements and usage patterns. Maximize total network efficiency while minimizing bandwidth congestion.
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