More Problems

• Design a Greedy algorithm to allocate limited research funding to scientific projects where each project has varying risks, potential breakthroughs, and funding needs. Maximize total research output while minimizing financial risk.
• You are given a set of marketing campaigns where each campaign has different engagement levels, costs, and audience reach. 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 water resources in a drought-affected region where each region has varying population sizes, water needs, and infrastructure. Maximize total water distribution while minimizing shortages.
• You are tasked with scheduling the release of high-demand software features in a tech company where each feature has different development times, user demand, and revenue potential. Maximize total user satisfaction while minimizing delays.
• Design a Greedy algorithm to allocate limited computing resources in a high-performance data center where each task has varying memory, processing, and execution time requirements. Maximize total system throughput while minimizing resource overuse.
• You are given a set of scientific experiments where each experiment has different resource needs, project timelines, and potential breakthroughs. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing delays.
• Design a Greedy algorithm to allocate limited advertising space on popular websites where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing user dissatisfaction.
• You are tasked with scheduling the deployment of autonomous vehicles in a city where each vehicle has different routes, capacities, and operational costs. Maximize total passenger service while minimizing operational expenses.