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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate internet bandwidth across a large data center where each server has different processing requirements and bandwidth demands. Maximize total system performance while minimizing bandwidth congestion.
More Problems
You are given a set of power plants with varying energy outputs and environmental impacts. Implement a Greedy algorithm to allocate energy production in a way that maximizes total output while minimizing environmental damage.
Design a Greedy algorithm to allocate advertising slots during a live sports broadcast where each ad has different viewer engagement potential and revenue. Maximize total revenue while minimizing viewer disruption.
You are tasked with scheduling the release of vaccines in a country where each region has different population sizes, infection rates, and healthcare infrastructure. Maximize total vaccination coverage while minimizing distribution delays.
Design a Greedy algorithm to allocate limited transportation vehicles during a large-scale emergency where each vehicle has different capacities and travel routes. Maximize the number of people evacuated while minimizing travel time and fuel costs.
You are given a set of scientific experiments where each experiment has different timelines, resource needs, and potential discoveries. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing unused resources.
Design a Greedy algorithm to allocate limited resources during a natural disaster where each affected area has different levels of damage and recovery needs. Maximize total recovery while minimizing resource wastage.
You are tasked with scheduling the release of digital services in a tech company where each service has different development times, market demand, and profitability. Maximize total market penetration while minimizing development delays.
Design a Greedy algorithm to allocate limited funding to different research projects in a university where each project has varying risks and potential breakthroughs. Maximize the number of successful projects while minimizing financial risk.
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