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:
Design an algorithm to allocate limited computer resources in a data center where each task has different processing requirements and deadlines. Maximize total task completion while minimizing resource wastage.
More Problems
You are given a set of airlines, each with varying flight capacities and ticket prices. Implement a Greedy algorithm to maximize passenger satisfaction while minimizing ticket costs.
You are tasked with scheduling the delivery of supplies during a humanitarian crisis where each location has different urgency levels and resource needs. Maximize the number of deliveries while minimizing resource wastage.
Design a Greedy algorithm to optimize the placement of public parks in a city where each park has different sizes and costs. Maximize total green space while minimizing construction expenses.
You are given a set of jobs with varying deadlines and penalties for incompletion. Implement a Greedy algorithm to minimize total penalties while maximizing job completion.
You are tasked with designing a Greedy algorithm to allocate bandwidth across multiple servers in a data center, where each server has varying data processing needs. Maximize total throughput while minimizing bandwidth costs.
Design a Greedy algorithm to allocate construction materials to multiple housing projects where each project has different material requirements and deadlines. Maximize the number of completed projects while minimizing material shortages.
You are given a set of events, each with varying start times, end times, and viewer importance. Implement a Greedy algorithm to schedule the maximum number of events that can be viewed without overlap.
You are tasked with scheduling the release of content on a streaming platform where each piece of content has different viewer engagement potential and release costs. Maximize total engagement while minimizing release expenses.
Python
Language
Editor
Run & Output
Save
AI Code Generate
AI Test Case
Run the code to see the output here...