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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are given a set of jobs in a cloud computing platform where each job has different processing, memory, and network requirements. Implement a Greedy algorithm to maximize total job completion while minimizing server overuse.
More Problems
Design a Greedy algorithm to allocate limited funds to social welfare programs where each program has varying public benefits, costs, and societal impact. Maximize total public welfare while minimizing budget overruns.
You are tasked with scheduling the repair of bridges in a national transportation network where each bridge has different traffic volumes, repair costs, and downtime. Maximize the number of bridges repaired while minimizing traffic disruptions.
Design a Greedy algorithm to allocate limited advertising space on a popular online platform where each ad has different viewer engagement potential and revenue. Maximize total revenue while minimizing user dissatisfaction.
You are tasked with scheduling the release of limited edition products in a retail company where each product has different production times, market demand, and revenue potential. Design a Greedy algorithm to maximize total sales while minimizing production delays.
Design a Greedy algorithm to allocate limited computing resources in a cloud data center where each server has different power consumption, processing capacity, and memory requirements. Maximize server utilization while minimizing power costs.
You are given a set of marketing campaigns where each campaign has varying costs, reach, and engagement potential. Implement a Greedy algorithm to allocate marketing budgets to maximize total audience engagement while minimizing expenses.
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 tasked with scheduling the deployment of medical personnel during an emergency where each hospital has varying patient loads, staff shortages, and logistical challenges. Maximize patient care while minimizing delays.
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