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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited bandwidth across multiple communication networks where each network has varying data traffic and revenue potential. Maximize total network efficiency while minimizing bandwidth congestion.
More Problems
You are tasked with scheduling the release of autonomous vehicles in a city where each vehicle has different routes, passenger capacities, and operational costs. Maximize total passenger service while minimizing fuel usage.
Design a Greedy algorithm to allocate limited public resources to different city projects where each project has varying public benefits, costs, and completion times. Maximize total public benefit while minimizing project delays.
You are given a set of marketing campaigns where each campaign has varying costs, potential reach, and engagement levels. Implement a Greedy algorithm to allocate marketing budgets to maximize total audience engagement while minimizing costs.
Design a Greedy algorithm to allocate water resources to farms in a drought-affected region where each farm has varying irrigation needs and crop yields. Maximize total crop production while minimizing water wastage.
You are tasked with scheduling the deployment of autonomous delivery drones in a city where each drone has different flight ranges, payload capacities, and fuel consumption rates. Maximize the number of deliveries made while minimizing fuel costs.
Design a Greedy algorithm to allocate public transportation vehicles to different routes during peak hours where each route has varying passenger demand and travel times. Maximize total passenger service while minimizing traffic congestion.
You are given a set of scientific experiments where each experiment has different space, time, and resource requirements. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing resource usage.
Design a Greedy algorithm to allocate limited research funding to tech startups where each startup has varying growth potential and funding needs. Maximize total innovation while minimizing financial risk.
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