More Problems

• You are given a set of jobs in a high-performance computing environment where each job has different memory, CPU, and network demands. Implement a Greedy algorithm to maximize total job completion while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited advertising space on popular online platforms where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing user dissatisfaction.
• You are tasked with scheduling the release of high-demand consumer products in a tech company where each product has varying development timelines, market demand, and revenue potential. Maximize total revenue while minimizing production delays.
• Design a Greedy algorithm to allocate limited bandwidth across multiple video streaming services where each service has varying viewer engagement, data usage, and revenue potential. Maximize total viewer satisfaction while minimizing bandwidth congestion.
• You are tasked with scheduling repairs for public transportation infrastructure where each project has varying costs, repair durations, and public benefits. Design a Greedy algorithm to maximize the number of repairs completed while minimizing public disruptions.
• Design a Greedy algorithm to allocate limited medical resources during a health crisis where each department has varying patient loads and medical needs. Maximize patient treatment while minimizing resource wastage.
• You are given a set of tasks in a cloud computing environment where each task has different processing needs, execution times, and memory requirements. Implement a Greedy algorithm to maximize total task completion while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited research funding to scientific projects where each project has varying potential for breakthroughs and funding requirements. Maximize total research output while minimizing financial risk.