More Problems

• You are given a set of tasks where each task has a different duration, deadline, and priority. Implement a Greedy algorithm to maximize task completion while minimizing missed deadlines.
• Design an algorithm to optimize the distribution of a limited number of fire engines across multiple fire stations where each station has different response times and coverage areas. Maximize coverage while minimizing response time.
• You are given a set of classes in a university where each class has different student capacity and time preferences. Design a Greedy algorithm to maximize class enrollment while ensuring no schedule conflicts.
• Design a Greedy algorithm to allocate research grants to universities where each university has different funding needs and research output. Maximize research output while minimizing grant allocation.
• You are given a set of cities with varying pollution levels. Implement a Greedy algorithm to allocate air quality monitors such that the maximum number of cities are covered while minimizing the number of monitors used.
• Design an algorithm to allocate jobs to autonomous robots in a warehouse where each robot has different battery life and task completion times. Maximize the number of tasks completed while minimizing energy usage.
• You are tasked with scheduling a series of online video tutorials where each video has different lengths and viewer engagement scores. Maximize total viewer engagement while minimizing the total duration of the tutorials.
• Design a Greedy algorithm to allocate medical resources in a pandemic where each hospital has different capacities and patient needs. Maximize the number of patients treated while minimizing resource wastage.