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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited funds to social welfare programs where each program has varying public benefits, costs, and impact. Maximize total social welfare while minimizing budget overruns.
More Problems
You are given a set of jobs in a distributed computing system where each job has different execution times, memory requirements, and processing needs. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing resource conflicts.
Design a Greedy algorithm to allocate limited advertising slots on a popular streaming platform where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing viewer churn.
You are tasked with scheduling the release of high-demand digital services in a tech company where each service has different development timelines, market demand, and profitability. Maximize total revenue while minimizing service delays.
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 resource needs, project timelines, and potential discoveries. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing delays.
Design a Greedy algorithm to allocate limited resources to environmental conservation projects where each project has varying ecological impacts, costs, and completion times. Maximize total conservation impact while minimizing resource wastage.
You are tasked with scheduling the repair of critical infrastructure in a national highway system where each road has varying traffic volumes, repair costs, and repair times. Maximize the number of repairs completed while minimizing traffic disruptions.
Design a Greedy algorithm to allocate limited research funding to university departments where each department has varying success probabilities, project timelines, and societal impact. Maximize total research output while minimizing financial risk.
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