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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited bandwidth across multiple online streaming platforms where each platform has varying viewer engagement and data usage. Maximize total viewer satisfaction while minimizing bandwidth congestion.
More Problems
You are tasked with scheduling the release of new products in a global marketplace where each product has varying production times, market demand, and revenue potential. Maximize total market share while minimizing production delays.
Design a Greedy algorithm to allocate limited research funds to university departments where each department has varying success probabilities and potential discoveries. Maximize total research output while minimizing financial risk.
You are tasked with scheduling the repair of critical infrastructure in a country where each region has different infrastructure needs, costs, and public benefits. Design a Greedy algorithm to maximize the number of repairs while minimizing delays and resource shortages.
Design a Greedy algorithm to allocate limited bandwidth across mobile networks in a city where each network has varying data traffic and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.
You are given a set of jobs in a distributed computing system where each job has different memory, CPU, and network requirements. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing system overload.
Design a Greedy algorithm to allocate limited vaccine doses during a pandemic where each region has varying infection rates and healthcare capacities. Maximize vaccination coverage while minimizing transportation costs.
You are tasked with scheduling the deployment of a fleet of electric delivery vehicles in a city where each vehicle has different travel ranges, capacities, and battery life. Maximize total delivery efficiency while minimizing charging time.
Design a Greedy algorithm to allocate limited public funds to education programs where each program has varying student outcomes, costs, and societal impact. Maximize educational impact while minimizing budget overuse.
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