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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are given a set of cities with varying pollution levels and road conditions. Implement a Greedy algorithm to allocate limited resources to build new roads that minimize pollution and maximize accessibility.
More Problems
Design a Greedy algorithm to allocate a fleet of autonomous taxis in a city where each taxi has different capacities and routes. Maximize total passenger satisfaction while minimizing fuel costs and traffic congestion.
You are tasked with scheduling maintenance for a fleet of commercial airplanes where each airplane has different flight schedules, maintenance costs, and passenger capacity. Maximize fleet uptime while minimizing maintenance delays.
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.
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.
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