More Problems

• Design a Greedy algorithm to allocate limited computing resources in a cloud environment where each task has different processing, memory, and execution requirements. Maximize total task completion while minimizing server overload.
• You are given a set of jobs in a distributed computing system where each job has different memory, processing, and network requirements. Implement a Greedy algorithm to maximize the number of jobs completed while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited funds to social welfare programs where each program has varying societal benefits, costs, and public impact. Maximize total welfare impact while minimizing budget overuse.
• You are tasked with scheduling the deployment of autonomous vehicles in a city where each vehicle has different routes, capacities, and fuel consumption. Maximize total passenger service while minimizing operational costs.
• Design a Greedy algorithm to allocate limited water resources across multiple agricultural areas where each area has varying crop yields, irrigation needs, and infrastructure. Maximize total crop production while minimizing water wastage.
• You are given a set of scientific experiments where each experiment has varying time requirements, costs, and potential discoveries. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing delays.
• Design a Greedy algorithm to allocate limited research funds to university departments where each department has varying project timelines, success probabilities, and societal impact. Maximize total research output while minimizing financial risk.
• You are tasked with scheduling the release of digital content on a streaming platform where each piece of content has different audience demand, engagement levels, and licensing costs. Maximize total viewer engagement while minimizing scheduling conflicts.