A Maximum Cut Approximation Algorithm for Tracheostomy

Approximation Algorithm for Maximum Cut

An Approximation Algorithm for the Maximum Cut Problem 138

An approximation algorithm for Max Cut is designed and analyzed; its performances are experimentally compared with those of a neural algorithm and of the Goemans and Williamson's algorithm.

Approximation Algorithms for the Maximum Cut Problem

Consider the problem of keeping closely related objects together and seperating unrelated objects from each other. This idea has clear applications to statistics, computer science, mathematics, social studies, and natural sciences just to name a few. To model this idea, we de ne the maximum cut problem that is simple to state but di cult to solve. The aim of this report is to provide two known ...

n)-Approximation Algorithm For Directed Sparsest Cut

We give an O( √ n)-approximation algorithm for the Sparsest Cut Problem on directed graphs. A näıve reduction from Sparsest Cut to Minimum Multicut would only give an approximation ratio of O( √ n log D), where D is the sum of the demands. We obtain the improvement using a novel LP-rounding method for fractional Sparsest Cut, the dual of Maximum Concurrent Flow.

Approximation Algorithm for the Max-Cut Problem

In this project, we investigated several approximation algorithms for the Max-Cut problem. Our main approach to this problem is a semideenite program (GW) based algorithm that has a performance guarantee of at least 0.878 of the optimal cut. We also show that we can perform exhaustive local search on top of the GW to enhance the result. Our results show that the running time of the local search...