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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate server capacity in a cloud computing environment where each user has different storage and processing requirements. Maximize server utilization while minimizing resource wastage.
More Problems
You are given a set of jobs in a factory where each job has different processing times and resource requirements. Implement a Greedy algorithm to maximize total job completion while minimizing resource overuse.
Design a Greedy algorithm to optimize the placement of public transportation stops in a city where each stop has different passenger demand and installation costs. Maximize total passenger service while minimizing installation expenses.
You are tasked with scheduling power plant maintenance where each plant has varying maintenance costs, downtime, and energy output. Maximize total energy output while minimizing maintenance delays.
Design a Greedy algorithm to allocate advertising slots on a popular streaming platform where each ad has different viewer engagement and revenue potential. Maximize total revenue while minimizing viewer churn.
You are given a set of products to ship from multiple warehouses where each product has varying shipping costs and delivery times. Implement a Greedy algorithm to maximize the number of products shipped while minimizing delivery costs.
Design a Greedy algorithm to allocate city construction permits where each project has different public benefit and environmental impact. Maximize public benefit while minimizing environmental harm.
You are tasked with scheduling an international sports tournament where each match has different duration, viewership potential, and stadium availability. Maximize total viewership while minimizing scheduling conflicts.
Design a Greedy algorithm to allocate medical research funding where each project has varying success probabilities and potential benefits. Maximize research success while minimizing funding gaps.
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