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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are given a set of tasks in a distributed computing environment where each task has different memory, CPU, and network requirements. Implement a Greedy algorithm to maximize total system throughput while minimizing resource conflicts.
More Problems
Design a Greedy algorithm to allocate limited funds to social welfare programs where each program has varying costs and public benefits. Maximize total social impact while minimizing budget overruns.
You are tasked with scheduling the repair of bridges in a transportation network where each bridge has varying traffic volumes, repair costs, and downtime. Maximize the number of bridges repaired while minimizing traffic disruptions.
Design a Greedy algorithm to allocate limited research grants to university departments where each department has varying success probabilities and funding needs. Maximize total research output while minimizing financial risk.
You are given a set of jobs in a parallel processing system where each job has different execution times, memory requirements, and network demands. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.
Design a Greedy algorithm to allocate limited bandwidth across multiple communication networks where each network has varying data traffic and revenue potential. Maximize total network efficiency while minimizing bandwidth congestion.
You are tasked with scheduling the release of autonomous vehicles in a city where each vehicle has different routes, passenger capacities, and operational costs. Maximize total passenger service while minimizing fuel usage.
Design a Greedy algorithm to allocate limited public resources to different city projects where each project has varying public benefits, costs, and completion times. Maximize total public benefit while minimizing project delays.
You are given a set of marketing campaigns where each campaign has varying costs, potential reach, and engagement levels. Implement a Greedy algorithm to allocate marketing budgets to maximize total audience engagement while minimizing costs.
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