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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited public funds to infrastructure projects where each project has varying public benefits, costs, and completion times. Maximize total public benefit while minimizing project delays.
More Problems
You are given a set of marketing campaigns where each campaign has varying costs, engagement levels, and audience reach. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing expenses.
Design a Greedy algorithm to allocate limited bandwidth across multiple industries where each industry has varying data traffic and economic impact. Maximize total economic output while minimizing bandwidth congestion.
You are tasked with scheduling satellite launches where each satellite has different payload sizes, launch windows, and mission importance. Maximize the number of successful launches while minimizing delays.
Design a Greedy algorithm to allocate limited research funds to university departments where each department has varying project timelines, success probabilities, and potential breakthroughs. Maximize total research output while minimizing financial risk.
You are tasked with scheduling the release of limited-edition digital products where each product has different development times, market demand, and profitability. Design a Greedy algorithm to maximize total sales while minimizing production delays.
Design a Greedy algorithm to allocate limited advertising space on popular websites where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing user dissatisfaction.
You are given a set of jobs in a parallel processing system where each job has different execution times, memory needs, and CPU requirements. Implement a Greedy algorithm to maximize the number of jobs completed while minimizing resource overuse.
Design a Greedy algorithm to allocate limited bandwidth across mobile networks where each network has varying user demands and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.
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