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 tasked with scheduling the repair of high-traffic bridges in a city where each bridge has varying repair costs, traffic volumes, and repair times. Maximize the number of bridges repaired while minimizing traffic disruptions.
More Problems
Design a Greedy algorithm to allocate limited research funds to university research projects where each project has varying risks, potential breakthroughs, and timelines. Maximize total research output while minimizing financial risk.
You are given a set of jobs in a distributed computing system where each job has different memory, processing, and network demands. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing network congestion.
Design a Greedy algorithm to allocate limited public resources to urban renewal projects where each project has varying public benefits, costs, and completion times. Maximize the total public benefit while minimizing project delays.
You are tasked with scheduling the release of limited-edition digital products where each product has different development times, market demand, and profitability. Maximize total sales while minimizing production delays.
Design a Greedy algorithm to allocate limited bandwidth across telecommunications networks where each network has varying user demands, data traffic, and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.
You are given a set of scientific experiments where each experiment has different time requirements, resource needs, and discovery potential. Implement a Greedy algorithm to maximize the number of experiments conducted while minimizing unused resources.
Design a Greedy algorithm to allocate limited advertising slots on a digital platform where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing viewer dissatisfaction.
You are tasked with scheduling repairs for critical infrastructure in a national highway system where each road has varying traffic volumes, repair costs, and downtime. Maximize the number of roads repaired while minimizing traffic delays.
Python
Language
Editor
Run & Output
Save
AI Code Generate
AI Test Case
Run the code to see the output here...