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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
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.
More Problems
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.
Design a Greedy algorithm to allocate power resources in a power grid where each source has varying production capacities, costs, and environmental impacts. Maximize total energy output while minimizing environmental damage.
You are tasked with scheduling the release of movies on a streaming platform where each movie has different audience appeal, running times, and licensing costs. Maximize total viewer engagement while minimizing scheduling conflicts.
Design a Greedy algorithm to allocate public resources to various city projects where each project has varying public benefits and funding requirements. Maximize the total public benefit while minimizing project delays.
You are given a set of marketing campaigns where each campaign has varying potential reach, engagement levels, and costs. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing costs.
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