Minimum Cuts in Directed Graphs via Partial Sparsification

11/17/2021
∙
by   Ruoxu Cen, et al.
∙
0
∙

We give an algorithm to find a minimum cut in an edge-weighted directed graph with n vertices and m edges in Õ(n·max(m^2/3, n)) time. This improves on the 30 year old bound of Õ(nm) obtained by Hao and Orlin for this problem. Our main technique is to reduce the directed mincut problem to Õ(min(n/m^1/3, √(n))) calls of any maxflow subroutine. Using state-of-the-art maxflow algorithms, this yields the above running time. Our techniques also yield fast approximation algorithms for finding minimum cuts in directed graphs. For both edge and vertex weighted graphs, we give (1+ϵ)-approximation algorithms that run in Õ(n^2 / ϵ^2) time.

READ FULL TEXT

Please sign up or login with your details

Continue with:
Or login with email
Enter Password
Re-enter Password

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×
Pro

Consider DeepAI Pro

Subscribe to DeepAI Pro
DeepAI Pro
Provides a limited generation allowance each month. When exceeded, you are charged overage rates available at deepai.org/pricing. Also includes an ad-free experience and API access. Renews automatically until canceled. Non-refundable.
Subtotal
Total due today

Payment

Add DeepAI credits
DeepAI credits
One-time purchase. Credits are added to your wallet after payment.
Subtotal
Total due today

Payment