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Improved Approximation Algorithms for Degree-bounded Network Design Problems with Node Connectivity Requirements
Speaker:
Ali Vakilian
, MIT
Date: Thursday, May 29, 2014
Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone
Public: Yes
Location: 32-G575
Event Type:
Room Description:
Host: Ilya Razenshteyn
Contact: Rebecca Yadegar, ryadegar@csail.mit.edu
Speaker URL: None
Speaker Photo:
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Reminders to:
theory-seminars@csail.mit.edu, seminars@csail.mit.edu
Reminder Subject:
TALK: Improved Approximation Algorithms for Degree-bounded Network Design Problems with Node Connectivity Requirements
Abstract:
We consider degree bounded network design problems with element and vertex connectivity requirements. In the degree bounded Survivable Network Design (SNDP) problem, the input
is an undirected graph G = (V;E) with weights w(e) on the edges and degree bounds b(v) on the vertices, and connectivity requirements r(uv) for each pair uv of vertices.
The goal is to select a minimum-weight subgraph H of G that meets the connectivity requirements and it satises the degree bounds on the vertices: for each pair uv of vertices, H has r(uv) disjoint paths between u and v; additionally, each
vertex v is incident to at most b(v) edges in H. We give the rst (O(1);O(1) b(v)) bicriteria approximation algorithms for the degree-bounded SNDP problem with element connectivity requirements and for several degree-bounded SNDP
problems with vertex connectivity requirements. Our algorithms construct a subgraph H whose weight is at most O(1)times the optimal such that each vertex v is incident to at most O(1) b(v) edges in H. We can also extend our approach
to network design problems in directed graphs with
out-degree constraints to obtain (O(1);O(1) b+(v)) bicriteria approximation
Joint work with Alina Ene
Research Areas:
Impact Areas:
Created by Rebecca Yadegar at Tuesday, May 27, 2014 at 10:33 AM.