More Problems

• Design a Greedy algorithm to allocate limited computing power in a supercomputing environment where each task has varying memory, CPU, and execution time requirements. Maximize total system throughput while minimizing power usage.
• You are given a set of jobs in a distributed computing network where each job has different processing requirements and network usage. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing network congestion.
• Design a Greedy algorithm to allocate limited public funds to urban development 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 critical software updates in a company where each update has different risks, development times, and user importance. Maximize system stability while minimizing delays.
• Design a Greedy algorithm to allocate limited advertising slots on popular video platforms where each ad has different engagement levels and potential revenue. Maximize total revenue while minimizing user dissatisfaction.
• You are given a set of tasks in a shared computing environment where each task has different memory and processing requirements. Implement a Greedy algorithm to maximize the number of tasks completed while minimizing resource overuse.
• Design a Greedy algorithm to allocate water resources during a drought where each affected region has different population sizes, water needs, and infrastructure. Maximize total water distribution while minimizing shortages.
• You are tasked with scheduling the deployment of a limited number of rescue teams in a disaster-stricken country where each region has varying levels of need and logistical constraints. Maximize the number of people helped while minimizing resource wastage.