Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • SEARCH
  • Home
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 8856119
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: June 14, 20262026-06-14T14:17:17+00:00 2026-06-14T14:17:17+00:00

I have implemented a union find algorithm that finds and joins an undirected graph

  • 0

I have implemented a union find algorithm that finds and joins an undirected graph with vertexes that are represented by integers. I want to know if someone has any psuedocode or an idea on how to see if components “connected” ie there is a path that goes from one node to another. For example, I have the following vertexes:

7 (source vertex), 9 (destination vertex) and 8 (source vertex), 7 (destination vertex) are all connected. However, something like 3 (source vertex), 5 (destination vertex) would not be connected to the previous set of components. Could anyone guide me in the right direction or give me an idea on how to test this? Thanks!

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-06-14T14:17:18+00:00Added an answer on June 14, 2026 at 2:17 pm

    Yes, all you do is test whether the two nodes have the same root. If you use path compression when you build your graph, this turns out to be very fast.


    I think it is because I am trying to incorporate it into an
    implementation of Kruskal’s algorithm with it. After I have found all
    connected components, I want to sort output something that will denote
    each disjoint set from each disjoint set. Sorry to bother you so much
    but if possible might you have any psuedo code to explain what you
    mean?

    The sets are already identified by a common root node. After you have done all your unions, each unique set will have a single root. So you then run through each node and call Find on it. How about this:

    typedef std::list< Node* > TNodeList;
    typedef std::map< Node*, TNodeList > TSetMap;
    
    TSetMap mysets;
    
    // Assuming you have nodes stored in the list type I declared above...
    for( TNodeList::iterator n = nodes.begin(); n != nodes.end(); n++ )
    {
        Node *thisnode = *n;
        Node *rootnode = Find(thisnode);
    
        // Add to list for root.  Using the [] operator on map will create a new
        // list if none exists for that node.
        mysets[rootnode].push_back(thisnode);
    }
    

    Now you have a map containing all your sets as individual lists, and you can do what you like…

    std::cout << "Number of disjoint sets: " << mysets.size() << std::endl;
    int count = 0;
    
    for( TSetMap::iterator s = mysets.begin(); s != mysets.end(); s++ )
    {
        TNodeList & nl = s->second;
        std::cout << "Set " << ++count << " contains " << nl.size() << " nodes\n";
    }
    

    To make all these calls to Find efficient, you should implement path compression in your Union function.

    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

I have implemented Facebook into my app but now I find that whenever I
I have implemented a UISearchDisplayController that allows users to search a table. Currently the
I have implemented a simple entity ejb with a @version annotation. I expect that
I have set of nodes and edges and i used Dijkstra's algorithm to find
I have a query that performs a UNION between two tables. I'm trying to
I have such task - to create control that union two controls (DataGrid from
I already have implemented JOOQ with Union Platform as a java based game server
I have implemented correctly bump's api, and added this code: - (void) configureBump {
I have implemented pagination to my data, but the problem is I only have
I have implemented a table view with multiple threads. Currently when a user taps

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.