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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are given a set of projects with varying deadlines, resource requirements, and profits. Implement a Greedy algorithm to maximize total profit while minimizing project delays.
More Problems
Design a Greedy algorithm to allocate limited bandwidth across different industries where each industry has varying data needs and economic impact. Maximize total economic output while minimizing network congestion.
You are tasked with scheduling advertisements on a popular streaming platform where each ad has different viewer engagement potential and revenue. Maximize total revenue while minimizing viewer churn.
Design a Greedy algorithm to allocate research funding to scientific projects where each project has different levels of success probability and potential breakthroughs. Maximize total research output while minimizing risk.
You are given a set of jobs in a distributed cloud environment where each job has different processing times, memory requirements, and priority levels. Implement a Greedy algorithm to maximize total job completion while minimizing delays.
Design a Greedy algorithm to allocate construction materials to multiple infrastructure projects where each project has different material needs and deadlines. Maximize the number of completed projects while minimizing material shortages.
You are tasked with scheduling the deployment of autonomous vehicles in a city where each vehicle has different capacities, routes, and costs. Maximize total passenger service while minimizing operational expenses.
Design a Greedy algorithm to allocate limited internet bandwidth across multiple users in a rural area where each user has different data needs and priority levels. Maximize total user satisfaction while minimizing bandwidth congestion.
You are given a set of marketing campaigns with varying costs, reach, and engagement potential. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing costs.
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