More Problems

• 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 total job completion while minimizing resource conflicts.
• You are tasked with scheduling the repair of high-traffic bridges in a city where each bridge has varying repair costs, traffic volumes, and repair times. Maximize the number of bridges repaired while minimizing traffic disruptions.
• Design a Greedy algorithm to allocate limited research funds to university research projects where each project has varying risks, potential breakthroughs, and timelines. Maximize total research output while minimizing financial risk.
• You are given a set of jobs in a distributed computing system where each job has different memory, processing, and network demands. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing network congestion.
• Design a Greedy algorithm to allocate limited public resources to urban renewal projects where each project has varying public benefits, costs, and completion times. Maximize the total public benefit while minimizing project delays.
• You are tasked with scheduling the release of limited-edition digital products where each product has different development times, market demand, and profitability. Maximize total sales while minimizing production delays.
• Design a Greedy algorithm to allocate limited bandwidth across telecommunications networks where each network has varying user demands, data traffic, and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.
• You are given a set of scientific experiments where each experiment has different time requirements, resource needs, and discovery potential. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing unused resources.