EdocGram
Home
(current)
Topics
EdocAI
Code Editor
HTML
Javascript
PHP
Python
Python AI Code Editor
More
Contact
About
Privacy Policy
Terms and Conditions
Log In
Topic: Greedy Algorithm Problem / Level: advanced
Problem:
You are given a set of jobs in a distributed computing system where each job has different processing requirements and deadlines. Implement a Greedy algorithm to maximize the number of jobs completed while minimizing resource overuse.
More Problems
Design a Greedy algorithm to allocate limited research funding to university departments where each department has varying success rates and potential discoveries. Maximize total research output while minimizing financial risk.
You are tasked with scheduling the repair of bridges in a transportation network where each bridge has different traffic volumes, repair costs, and downtime. Maximize the number of bridges repaired while minimizing traffic disruptions.
Design a Greedy algorithm to allocate limited advertising space on popular websites where each ad has different engagement levels and costs. Maximize total revenue while minimizing ad conflicts.
You are given a set of cities connected by flights where each flight has different costs, durations, and passenger demand. Implement a Greedy algorithm to maximize the number of passengers served while minimizing delays.
Design a Greedy algorithm to allocate limited research grants to tech startups where each startup has varying growth potential and funding needs. Maximize total innovation while minimizing financial risk.
You are tasked with scheduling the repair of roads in a national highway system where each road has different traffic volumes, repair costs, and downtime. Maximize the number of roads repaired while minimizing traffic delays.
Design a Greedy algorithm to allocate limited vaccine doses to different regions during a pandemic where each region has varying infection rates and healthcare capacity. Maximize vaccination coverage while minimizing transportation delays.
You are given a set of jobs in a high-performance computing cluster where each job has different execution times, memory requirements, and priority levels. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.
Python
Language
Editor
Run & Output
Save
AI Code Generate
AI Test Case
Run the code to see the output here...