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 1015103
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: May 16, 20262026-05-16T10:21:05+00:00 2026-05-16T10:21:05+00:00

I have a large (100,000+ nodes) Directed Acyclic Graph (DAG) and would like to

  • 0

I have a large (100,000+ nodes) Directed Acyclic Graph (DAG) and would like to run a “visitor” type function on each node in order, where order is defined by the arrows in the graph. i.e. all parents of a node are guaranteed to be visited before the node itself.

If two nodes do not refer to each other directly or indirectly, then I don’t care which order they are visited in.

What’s the most efficient algorithm to do this?

  • 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
    2026-05-16T10:21:05+00:00Added an answer on May 16, 2026 at 10:21 am

    You would have to perform a topological sort on the nodes, and visit the nodes in the resulting order.

    The complexity of such algorithm is O(|V| + |E|). This is arguably also a lower bound of what you want to do, since you a) want to visit all nodes, and b) can’t really ignore any edges, since even a single edge can affect the ordering significantly.

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

Sidebar

Related Questions

I have a large dataset (over 100,000 records) that I wish to load into
I have a large database and would like to select table names that have
I have a very large dataset (100,000) to be display, but any browser I
If I have a large binary file (say it has 100,000,000 floats), is there
I have a large xml document that needs to be processed 100 records at
At my workplace we have one large Subversion repository which holds about 100 projects.
We are using Maven for a large build process (> 100 modules). We have
I have a large list (~ 110,000 strings), which I need to compare to
I have large data sets (10 Hz data, so 864k points per 24 Hours)
I have large batches of XHTML files that are manually updated. During the review

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.