More Problems

• You are given a set of jobs in a distributed computing system where each job has different memory and processing requirements. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing server overload.
• Design a Greedy algorithm to allocate limited advertising slots on a popular online platform where each ad has different viewer engagement potential and revenue. Maximize total revenue while minimizing viewer churn.
• You are tasked with scheduling the release of limited edition products in a retail company where each product has different production times, market demand, and revenue potential. Maximize total sales while minimizing production delays.
• 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.