More Problems

• Design a Greedy algorithm to allocate limited computing resources in a cloud environment where each task has different processing needs and execution times. Maximize total task completion while minimizing server usage.
• You are given a set of marketing campaigns where each campaign has varying engagement levels, costs, and potential reach. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing expenses.
• Design a Greedy algorithm to allocate limited bandwidth across multiple streaming platforms where each platform has varying viewer engagement, data usage, and revenue potential. Maximize total viewer satisfaction while minimizing bandwidth congestion.
• You are tasked with scheduling the release of new software features in a company where each feature has different development times, user demand, and potential revenue. Maximize total user satisfaction while minimizing development delays.
• Design a Greedy algorithm to allocate limited water resources across multiple drought-affected regions where each region has varying water needs and infrastructure. Maximize total water distribution while minimizing shortages.
• You are tasked with scheduling the repair of national bridges where each bridge has different repair costs, traffic volumes, and repair times. Design a Greedy algorithm to maximize the number of bridges repaired while minimizing traffic disruptions.
• 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.