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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited water resources during a drought where each region has varying population sizes, infrastructure, and water needs. Maximize total water distribution while minimizing shortages.
More Problems
You are tasked with scheduling repairs for a national highway system where each road has varying 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 grants to tech startups where each startup has varying growth potential, funding needs, and risks. Maximize total innovation while minimizing financial risk.
You are given a set of jobs in a parallel processing environment where each job has different memory, CPU, and execution time requirements. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.
Design a Greedy algorithm to allocate limited advertising slots on popular websites where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing user dissatisfaction.
You are tasked with scheduling the release 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 platforms where each platform 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 resource wastage.
Design a Greedy algorithm to allocate limited medical supplies to hospitals during an emergency where each hospital has varying patient loads, medical needs, and logistical challenges. Maximize patient care while minimizing supply shortages.
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