More Problems

• Design a Greedy algorithm to allocate public transportation vehicles during rush hour where each vehicle has varying capacity and fuel efficiency. Maximize the number of passengers served while minimizing traffic congestion.
• You are given a set of tasks in a high-performance computing environment where each task has varying resource requirements and deadlines. Implement a Greedy algorithm to maximize total task completion while minimizing resource wastage.
• Design a Greedy algorithm to allocate housing resources in a disaster relief scenario where each shelter has varying capacity and proximity to affected areas. Maximize the number of people housed while minimizing transportation delays.
• You are tasked with scheduling vaccine distribution where each region has varying population sizes and infection rates. Design a Greedy algorithm to maximize the number of people vaccinated while minimizing distribution delays.
• Design a Greedy algorithm to allocate limited computing resources in a cloud environment where each user has varying processing needs and budget constraints. Maximize total user satisfaction while minimizing resource overuse.
• You are given a set of jobs in a parallel processing environment where each job has varying processing times and priority levels. Implement a Greedy algorithm to maximize total job completion while minimizing job delays.
• Design a Greedy algorithm to allocate public housing where each household has different income levels and space requirements. Maximize housing allocation efficiency while minimizing vacancy rates.
• You are tasked with scheduling product releases in a global marketplace where each product has varying production times and market demand. Maximize total market share while minimizing production delays.