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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are given a set of jobs in a high-performance computing cluster where each job has different memory, CPU, and network demands. Implement a Greedy algorithm to maximize system throughput while minimizing resource overuse.
More Problems
Design a Greedy algorithm to allocate limited medical supplies in a hospital where each department has different patient loads and supply needs. Maximize patient treatment while minimizing supply shortages.
You are tasked with scheduling flights in an airport where each flight has varying durations, passenger loads, and ticket prices. Maximize the number of flights scheduled while minimizing delays.
Design a Greedy algorithm to allocate public funds to different city improvement projects where each project has varying public benefits and costs. Maximize the total public benefit while minimizing project delays.
You are given a set of tasks in a shared computing environment where each task has different execution times and memory requirements. Implement a Greedy algorithm to maximize total task completion while minimizing memory usage.
Design a Greedy algorithm to allocate space on a satellite where each experiment has different space and resource requirements. Maximize the number of experiments conducted while minimizing unused space.
You are tasked with scheduling medical operations in a hospital where each operation has different durations, risks, and recovery times. Maximize the number of operations completed while minimizing patient recovery delays.
Design a Greedy algorithm to allocate limited research funds to scientific projects where each project has varying risks and potential for breakthroughs. Maximize the number of successful projects while minimizing the total budget used.
You are given a set of public transportation routes where each route has varying passenger demand, travel times, and operating costs. Implement a Greedy algorithm to maximize the number of passengers served while minimizing operating costs.
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