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 processing requirements. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.
• Design a Greedy algorithm to allocate limited public transportation resources during peak hours in a city where each route has varying passenger demand and travel times. Maximize total passenger service while minimizing traffic congestion.
• You are tasked with scheduling the repair of national bridges where each bridge has different 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 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 tasks in a distributed computing environment where each task has different memory and processing requirements. Implement a Greedy algorithm to maximize total task completion while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited advertising slots on a popular digital platform where each ad has varying viewer engagement and potential revenue. Maximize total 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 profitability. Maximize total sales while minimizing production delays.
• Design a Greedy algorithm to allocate limited bandwidth across multiple telecommunications networks where each network has varying user demands and data traffic. Maximize network efficiency while minimizing congestion.