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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited computing resources in a cloud environment where each task has varying memory, CPU, and execution time requirements. Maximize total task completion while minimizing server usage.
More Problems
You are given a set of scientific experiments where each experiment has varying resource needs, timelines, and discovery potential. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing resource wastage.
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.
You are tasked with scheduling the repair of high-traffic roads in a city where each road has different traffic volumes, repair costs, and repair durations. Maximize the number of roads repaired while minimizing traffic disruptions.
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 given a set of jobs in a high-performance computing environment where each job has different memory, CPU, 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 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 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 public disruptions.
Design a Greedy algorithm to allocate limited funds to educational programs where each program has varying societal benefits, costs, and outcomes. Maximize educational impact while minimizing budget overruns.
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