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 tasks in a distributed computing environment where each task has different memory and processing requirements. Implement a Greedy algorithm to maximize total task completion while minimizing resource conflicts.
More Problems
Design a Greedy algorithm to allocate limited water resources during a drought where each region has varying population sizes, water needs, and infrastructure. Maximize total water distribution while minimizing shortages.
You are tasked with scheduling the deployment of medical personnel during a pandemic where each hospital has varying patient loads, staff shortages, and logistical challenges. Maximize patient care while minimizing travel delays.
Design a Greedy algorithm to allocate limited research funding to scientific projects where each project has varying risks, potential breakthroughs, and funding needs. Maximize total research output while minimizing resource wastage.
You are given a set of jobs in a cloud computing environment where each job has different memory, CPU, and network requirements. Implement a Greedy algorithm to maximize total job completion while minimizing network congestion.
Design a Greedy algorithm to allocate limited advertising slots on a popular online platform where each ad has varying viewer engagement and revenue potential. Maximize total revenue while minimizing user dissatisfaction.
You are tasked with scheduling repairs for critical infrastructure in a national transportation network where each project has varying costs, repair times, and public benefits. Maximize the number of repairs completed while minimizing public disruptions.
Design a Greedy algorithm to allocate limited research grants to tech startups where each startup has varying success probabilities, project timelines, and funding needs. Maximize total innovation while minimizing financial risk.
You are given a set of jobs in a high-performance computing environment where each job has different execution times, memory needs, and processing requirements. Implement a Greedy algorithm to maximize total system throughput while minimizing resource overuse.
Python
Language
Editor
Run & Output
Save
AI Code Generate
AI Test Case
Run the code to see the output here...