More Problems

• Design a Greedy algorithm to allocate research funding to scientific projects where each project has different levels of success probability and potential breakthroughs. Maximize total research output while minimizing risk.
• You are given a set of jobs in a distributed cloud environment where each job has different processing times, memory requirements, and priority levels. Implement a Greedy algorithm to maximize total job completion while minimizing delays.
• Design a Greedy algorithm to allocate construction materials to multiple infrastructure projects where each project has different material needs and deadlines. Maximize the number of completed projects while minimizing material shortages.
• You are tasked with scheduling the deployment of autonomous vehicles in a city where each vehicle has different capacities, routes, and costs. Maximize total passenger service while minimizing operational expenses.
• Design a Greedy algorithm to allocate limited internet bandwidth across multiple users in a rural area where each user has different data needs and priority levels. Maximize total user satisfaction while minimizing bandwidth congestion.
• You are given a set of marketing campaigns with varying costs, reach, and engagement potential. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing costs.
• Design a Greedy algorithm to allocate cloud storage across users where each user has varying storage needs and access requirements. Maximize total storage utilization while minimizing server overload.
• You are tasked with scheduling the repair of critical infrastructure in a city where each repair has varying costs, timelines, and impact on the public. Maximize the number of repairs completed while minimizing public disruptions.