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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate water resources during a drought where each affected region has different population sizes, water needs, and infrastructure. Maximize total water distribution while minimizing shortages.
More Problems
You are tasked with scheduling the deployment of a limited number of rescue teams in a disaster-stricken country where each region has varying levels of need and logistical constraints. Maximize the number of people helped while minimizing resource wastage.
Design a Greedy algorithm to allocate limited medical supplies in a hospital where each department has varying patient loads, supply needs, and urgency levels. Maximize patient treatment while minimizing supply shortages.
You are given a set of projects in a tech company where each project has different development timelines, resource requirements, and potential profits. Implement a Greedy algorithm to maximize total project success while minimizing delays.
Design a Greedy algorithm to allocate limited bandwidth across multiple telecommunications networks where each network has varying user demands, data traffic, and revenue potential. Maximize total network efficiency 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 advertising space on popular websites where each ad has varying viewer engagement and revenue potential. Maximize total ad revenue while minimizing user dissatisfaction.
You are given a set of scientific experiments where each experiment has different resource needs, timelines, and discovery potential. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing delays.
Design a Greedy algorithm to allocate public funds for infrastructure development in a city where each project has varying public benefits, costs, and completion times. Maximize the total public benefit while minimizing delays.
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