More Problems

• Design a Greedy algorithm to allocate limited funding to different research projects in a university where each project has varying risks and potential breakthroughs. Maximize the number of successful projects while minimizing financial risk.
• You are given a set of jobs in a high-performance computing environment where each job has different execution times, memory needs, and CPU requirements. Implement a Greedy algorithm to maximize system throughput while minimizing resource overuse.
• Design a Greedy algorithm to allocate public funds for infrastructure improvements in a city where each project has different public benefits, costs, and completion times. Maximize the total public benefit while minimizing project delays.
• You are tasked with scheduling the deployment of rescue operations during a natural disaster where each rescue mission has different timelines, costs, and success probabilities. Maximize the number of successful missions while minimizing resource overuse.
• Design a Greedy algorithm to allocate power resources in a smart grid where each household has different energy consumption patterns and priority levels. Maximize total energy efficiency while minimizing power shortages.
• You are given a set of jobs in a cloud computing platform where each job has different data processing needs and execution times. Implement a Greedy algorithm to maximize total job completion while minimizing server usage.
• Design a Greedy algorithm to allocate medical supplies in a hospital during an emergency where each department has varying patient loads and supply requirements. Maximize total patient care while minimizing supply shortages.
• You are tasked with scheduling the repair of roads in a national highway system where each road has different traffic volumes, repair costs, and downtime. Maximize the number of roads repaired while minimizing traffic delays.