More Problems

• Design a Greedy algorithm to allocate limited bandwidth across multiple industries where each industry has varying data needs and economic impact. Maximize total economic output while minimizing bandwidth congestion.
• You are tasked with scheduling the release of high-demand digital services where each service has different development timelines, market demand, and revenue potential. Maximize total market penetration while minimizing service delays.
• Design a Greedy algorithm to allocate limited water resources during a drought where each region has varying population sizes, irrigation needs, and infrastructure. Maximize total water distribution while minimizing shortages.
• You are given a set of marketing campaigns where each campaign has varying audience reach, engagement potential, and costs. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing expenses.
• Design a Greedy algorithm to allocate limited public transportation vehicles during peak hours in a city where each route has varying passenger demand and travel times. Maximize total passenger service while minimizing operational costs.
• You are tasked with scheduling the repair of critical infrastructure in a national transportation network where each project has varying costs, repair times, and public benefits. Maximize the number of repairs completed while minimizing public disruptions.
• Design a Greedy algorithm to allocate limited research funding to university research departments where each department has varying success probabilities, potential discoveries, and funding needs. Maximize total research output while minimizing financial risk.
• You are given a set of jobs in a high-performance computing environment where each job has different memory, CPU, and network demands. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.