More Problems

• Design a Greedy algorithm to allocate limited research funding to university departments where each department has varying success probabilities and potential breakthroughs. Maximize total research output while minimizing financial risk.
• You are tasked with scheduling the deployment of medical staff during a large-scale pandemic where each region has different infection rates and medical needs. Design a Greedy algorithm to maximize patient care while minimizing travel and logistical delays.
• Design a Greedy algorithm to allocate limited bandwidth across multiple industries where each industry has varying data needs and economic importance. Maximize total economic output while minimizing bandwidth congestion.
• You are given a set of tasks in a cloud environment where each task has different processing times, memory needs, and execution priorities. Implement a Greedy algorithm to maximize total task completion while minimizing resource overuse.
• Design a Greedy algorithm to allocate limited medical supplies in a disaster zone where each hospital has varying patient loads and medical requirements. Maximize patient treatment while minimizing supply shortages.
• You are tasked with scheduling the release of high-demand digital services where each service has different development times, market potential, and customer engagement. Maximize total market penetration while minimizing delays.
• Design a Greedy algorithm to allocate limited resources to environmental conservation projects where each project has varying costs and ecological impact. Maximize conservation success while minimizing resource wastage.
• You are given a set of jobs in a large-scale manufacturing plant where each job has different processing times, resource needs, and deadlines. Implement a Greedy algorithm to maximize the number of jobs completed while minimizing resource overuse.