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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are tasked with scheduling the repair of high-traffic roads in a city where each road has varying traffic volumes, repair costs, and repair durations. Maximize the number of roads repaired while minimizing traffic disruptions.
More Problems
Design a Greedy algorithm to allocate limited resources to social welfare programs where each program has varying public benefits, costs, and impact. Maximize total social welfare while minimizing budget overruns.
You are given a set of jobs in a distributed computing environment where each job has different memory, processing, and network requirements. Implement a Greedy algorithm to maximize total job completion while minimizing resource conflicts.
Design a Greedy algorithm to allocate limited advertising slots on a popular online platform where each ad has varying viewer engagement potential and revenue. Maximize total ad revenue while minimizing user dissatisfaction.
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 fuel consumption.
Design a Greedy algorithm to allocate limited bandwidth across multiple streaming services where each service has varying viewer engagement, data usage, and revenue potential. Maximize total viewer satisfaction while minimizing bandwidth congestion.
You are given a set of scientific experiments where each experiment has different time requirements, resource needs, and discovery potential. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing delays.
Design a Greedy algorithm to allocate limited public funds to environmental conservation projects where each project has varying ecological impacts, costs, and completion times. Maximize total conservation success while minimizing resource wastage.
You are tasked with scheduling the release of new digital products in a global tech company where each product has varying development times, market demand, and profitability. Maximize total revenue while minimizing production delays.
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