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 parallel computing environment where each job has different memory, CPU, and network requirements. Implement a Greedy algorithm to maximize the number of jobs completed while minimizing resource wastage.
More Problems
Design a Greedy algorithm to allocate limited advertising slots on a popular streaming platform where each ad has varying viewer engagement and potential revenue. Maximize total revenue while minimizing user dissatisfaction.
You are tasked with scheduling satellite launches where each satellite has different payload sizes, launch windows, and mission importance. Maximize the number of successful launches while minimizing delays.
Design a Greedy algorithm to allocate limited research funds to university departments where each department has varying success probabilities and potential discoveries. Maximize total research output while minimizing financial risk.
You are given a set of transportation routes in a large city where each route has different travel times, passenger demand, and operational costs. Implement a Greedy algorithm to maximize total passenger service while minimizing costs.
Design a Greedy algorithm to allocate public funds to environmental conservation projects where each project has varying ecological impacts, costs, and completion times. Maximize total conservation impact while minimizing resource wastage.
You are tasked with scheduling the release of new software features in a tech company where each feature has different development times, user demand, and revenue potential. Maximize total user satisfaction while minimizing development delays.
Design a Greedy algorithm to allocate limited water resources to different regions during a drought where each region has varying population sizes, water needs, and infrastructure. Maximize total water distribution while minimizing shortages.
You are given a set of jobs in a distributed computing network where each job has different memory and processing requirements. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing network congestion.
Python
Language
Editor
Run & Output
Save
AI Code Generate
AI Test Case
Run the code to see the output here...