More Problems

• 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.
• Design a Greedy algorithm to allocate limited advertising space on popular digital platforms where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing user dissatisfaction.
• You are tasked with scheduling the release of limited-edition consumer products in a retail company where each product has different development times, market demand, and profitability. Maximize total sales while minimizing production delays.
• Design a Greedy algorithm to allocate limited bandwidth across telecommunications networks where each network has varying user demands, data traffic, and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.