More Problems

• Design a Greedy algorithm to allocate limited research grants to scientific projects where each project has different risks, potential breakthroughs, and funding requirements. Maximize total research output while minimizing financial risk.
• You are given a set of tasks in a distributed computing system where each task has different execution times, memory requirements, and processing needs. Implement a Greedy algorithm to maximize total task completion while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited advertising slots on a popular streaming service where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing viewer dissatisfaction.
• You are tasked with scheduling the release of high-demand digital products in a tech company where each product has different development timelines, market demand, and profitability. Maximize total revenue while minimizing production delays.
• Design a Greedy algorithm to allocate limited bandwidth across telecommunications networks in a densely populated area where each network has varying user demands and data traffic. Maximize network efficiency while minimizing bandwidth congestion.
• You are given a set of scientific experiments where each experiment has different resource needs, project timelines, and potential discoveries. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing resource wastage.
• Design a Greedy algorithm to allocate limited research funding to university departments where each department has varying success probabilities, project timelines, and societal impact. Maximize total research output while minimizing financial risk.
• You are tasked with scheduling the repair of high-traffic roads in a city where each road has varying traffic volumes, repair costs, and repair durations. Maximize the number of roads repaired while minimizing traffic disruptions.