Hosted by Dailymotion. For legal issues report at the Copyright Center, report us on DMC, or use the Instant Removal tool.
[MPRI 2012] Approximation Algorithms 3A
6 Views • Oct 11, 2012
Description
by Nicolas Schabanel
[ Lecture 3 Part A/C ]
Lecture 3: Wed Oct 10, 2012 - 12:45-15:45
A Polynomial Time Randomized Approximation Scheme (PTRAS) for dense Max-Cut
1) Definition of PTAS, PTRAS, example of dependence in ε
2) Dense Max-Cut
2.a) definition
2.b) the partition of the cut covers a constant fraction of the nodes
3) A first algorithm
3.a) A non-adaptative randomized sampling based algorithm
3.b) An example on why it does not work
4) The PTRAS
4.a) Description of the algorithm
4.b) Exhaustive guessing
4.c) Hybridation
4.d) Algorithmic analysis
4.e) Probabilistic analysis
4.f) Final theorem
Keywords & Tags
More from User
[2017 MPRI 2.11.1] Molecular programming 3/4 (8 NOV)
Nicolas Schabanel
[2017 MPRI 2.11.1] Molecular programming 4/4 (15 NOV)
Nicolas Schabanel
[2017 MPRI 2.11.1] Molecular programming 2/4 (25 OCT)
Nicolas Schabanel
[2017 MPRI 2.11.1] Molecular programming 1:4 (18 OCT)
Nicolas Schabanel
[2016 MPRI 2.11.1] 7. Nature Programming: Intrisic Universality & Other models including Oritatami (2016/11/9)
Nicolas Schabanel
[2016 MPRI 2.11.1] 6. Nature Programming: Universality in Tile Assembly Systems (2016/11/2)
Nicolas Schabanel
Related Videos
[MPRI 2012] Approximation Algorithms 3B
Nicolas Schabanel
[2016 MPRI 2.11.1] 1. Introduction to Approximation Algorithms (2016/9/14)
Nicolas Schabanel
[MPRI 2012] Approximation Algorithms 2B
Nicolas Schabanel
[MPRI 2012] Approximation Algorithms 4C
Nicolas Schabanel
[MPRI 2012] Approximation Algorithms 1A
Nicolas Schabanel
[MPRI 2012] Approximation Algorithms 2A
Nicolas Schabanel