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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate server resources in a cloud data center where each server has different processing power, memory, and energy consumption. Maximize server efficiency while minimizing power costs.
More Problems
You are given a set of projects in a global corporation where each project has different timelines, budgets, and profit potential. Implement a Greedy algorithm to maximize total profits while minimizing project delays.
Design a Greedy algorithm to allocate public transportation vehicles during peak hours in a major city where each route has varying passenger demand and travel times. Maximize total passenger service while minimizing operating costs.
You are tasked with scheduling satellite launches where each satellite has different payload sizes, launch costs, and windows of opportunity. Maximize the number of successful launches while minimizing delays.
Design a Greedy algorithm to allocate limited research funding to scientific projects where each project has varying risks, potential breakthroughs, and funding needs. Maximize research output while minimizing financial risk.
You are given a set of jobs in a parallel processing environment where each job has different execution times, memory requirements, and processing demands. Implement a Greedy algorithm to maximize the number of jobs completed while minimizing resource conflicts.
Design a Greedy algorithm to allocate water resources across a network of farms where each farm has different irrigation needs and potential yields. Maximize crop production while minimizing water wastage.
You are tasked with scheduling repairs for a network of bridges in a country where each bridge has varying traffic volumes, repair costs, and repair times. Maximize the number of bridges repaired while minimizing traffic disruptions.
Design a Greedy algorithm to allocate advertising slots on popular websites where each ad has varying viewer engagement and revenue potential. Maximize total ad revenue while minimizing user dissatisfaction.
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