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, timelines, and potential breakthroughs. Maximize total research output while minimizing financial risk.
• You are given a set of marketing campaigns where each campaign has varying audience reach, engagement levels, and costs. 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 bandwidth across multiple video streaming platforms where each platform has varying viewer engagement, data usage, and potential revenue. Maximize viewer satisfaction while minimizing bandwidth congestion.
• You are tasked with scheduling repairs for high-traffic roads in a city where each road has varying traffic volumes, repair costs, and repair times. Maximize the number of roads repaired while minimizing traffic disruptions.
• Design a Greedy algorithm to allocate limited public resources to environmental conservation projects where each project has varying ecological impacts, costs, and completion times. Maximize total conservation impact while minimizing resource wastage.
• You are given a set of jobs in a distributed computing system where each job has different processing needs, execution times, and memory requirements. Implement a Greedy algorithm to maximize total system throughput while minimizing resource conflicts.