More Problems

• Design a Greedy algorithm to allocate limited funding to educational programs where each program has varying societal benefits, costs, and student outcomes. Maximize educational impact while minimizing budget overuse.
• You are given a set of scientific experiments where each experiment has different resource needs, timelines, and discovery potential. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing resource wastage.
• Design a Greedy algorithm to allocate bandwidth across multiple industries where each industry has varying data needs and economic impact. Maximize total network efficiency while minimizing data traffic congestion.
• You are tasked with scheduling the release of digital content on a streaming platform where each piece of content has different engagement potential, viewer demand, and licensing costs. Maximize total viewer engagement while minimizing scheduling conflicts.
• Design a Greedy algorithm to allocate public transportation resources during peak hours in a city where each route has varying passenger demand, travel times, and operational costs. Maximize total passenger service while minimizing traffic congestion.
• You are given a set of jobs in a high-performance computing cluster where each job has different processing, memory, and network needs. Implement a Greedy algorithm to maximize system throughput while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited research grants to university departments where each department has varying success rates, funding needs, and potential breakthroughs. Maximize total research output while minimizing financial risk.
• You are tasked with scheduling repairs for critical infrastructure in a city where each project has varying costs, repair times, and public benefits. Maximize the number of repairs completed while minimizing public disruptions.