More Problems

• Design a Greedy algorithm to allocate limited computing resources in a cloud environment where each task has different memory, CPU, and execution time requirements. Maximize total task completion while minimizing server usage.
• You are tasked with scheduling the deployment of rescue teams during a natural disaster where each affected region has varying levels of need and logistical constraints. Maximize the number of people rescued while minimizing resource wastage.
• Design a Greedy algorithm to allocate limited research grants 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 during a drought 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 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 tasked with scheduling repairs for a national transportation network where each route has varying traffic volumes, repair costs, and repair times. Design a Greedy algorithm to maximize the number of repairs completed while minimizing traffic disruptions.