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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited water resources across a drought-affected region where each area has varying population sizes, irrigation needs, and infrastructure. Maximize water distribution while minimizing shortages.
More Problems
You are tasked with scheduling the deployment of rescue teams during a natural disaster where each affected region has varying levels of need and logistical challenges. Maximize the number of people rescued while minimizing resource wastage.
Design a Greedy algorithm to allocate limited medical supplies in a hospital where each department has varying patient loads, supply needs, and urgency levels. Maximize patient treatment while minimizing supply shortages.
You are given a set of jobs in a high-performance computing environment where each job has different execution times, memory needs, and priority levels. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.
Design a Greedy algorithm to allocate limited advertising slots on popular streaming services where each ad has varying viewer engagement and potential revenue. Maximize total revenue while minimizing viewer churn.
You are tasked with scheduling the repair of national highways where each road has different traffic volumes, repair costs, and repair times. Maximize the number of roads repaired 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 potential discoveries. Maximize total research output while minimizing financial risk.
You are given a set of jobs in a cloud computing environment where each job has different memory, CPU, and network requirements. Implement a Greedy algorithm to maximize total job completion while minimizing network congestion.
Design a Greedy algorithm to allocate limited bandwidth across multiple online platforms where each platform has varying viewer engagement, data usage, and revenue potential. Maximize total viewer satisfaction while minimizing bandwidth congestion.
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