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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are given a set of jobs in a cloud computing environment where each job has different memory, CPU, and processing requirements. Implement a Greedy algorithm to maximize total job completion while minimizing server overuse.
More Problems
Design a Greedy algorithm to allocate limited advertising slots on popular streaming platforms 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 research funding to scientific projects where each project has varying risks, potential breakthroughs, and funding needs. Maximize total research output while minimizing financial risk.
You are given a set of marketing campaigns where each campaign has different engagement levels, costs, and audience reach. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing expenses.
Design a Greedy algorithm to allocate limited water resources in a drought-affected region where each region has varying population sizes, water needs, and infrastructure. Maximize total water distribution while minimizing shortages.
You are tasked with scheduling the release of high-demand software features in a tech company where each feature has different development times, user demand, and revenue potential. Maximize total user satisfaction while minimizing delays.
Design a Greedy algorithm to allocate limited computing resources in a high-performance data center where each task has varying memory, processing, and execution time requirements. Maximize total system throughput while minimizing resource overuse.
You are given a set of scientific experiments where each experiment has different resource needs, project timelines, and potential breakthroughs. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing delays.
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