Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings
This repository was archived by the owner on Jan 23, 2023. It is now read-only.

AA Second Project - The objective of this project was to design and test a randomized algorithm to solve the combinatorial problem from the first assignment, which was to find a minimum weighted closure for a given vertex-weighted directed graph G(V, E), with n vertices and m edges. This randomized algorithm was based on the Monte Carlo algorithms.

NotificationsYou must be signed in to change notification settings

eduardosantoshf/randomized-algorithm-for-combinatorial-problem

Repository files navigation

The objective of this project was to design and test a randomized algorithm to solve the combinatorial problem from the first assignment, which was to find a minimum weighted closure for a given vertex-weighted directed graph G(V, E), with n vertices and m edges. This randomized algorithm was based on the Monte Carlo algorithms, and all the computations were made using a variety of parameters, which are referred on the report.

Course

This project was developed under theAdvanced Algorithms course ofUniversity of Aveiro.

How to run

You can find the running steps inside thereport.pdf file.

Grade

This project's grade was17 out of 20.

Authors

About

AA Second Project - The objective of this project was to design and test a randomized algorithm to solve the combinatorial problem from the first assignment, which was to find a minimum weighted closure for a given vertex-weighted directed graph G(V, E), with n vertices and m edges. This randomized algorithm was based on the Monte Carlo algorithms.

Topics

Resources

Stars

Watchers

Forks


[8]ページ先頭

©2009-2025 Movatter.jp