Publication date
February 2021
DOIAbstract
In this paper, after introducing a new semidefinite programming formulation we present an improved randomized approximation with an approximation factor roughly 1.01241 = 1/0.9877
In this paper, after introducing a new semidefinite programming formulation we present an improved randomized approximation with an approximation factor roughly 1.01241 = 1/0.9877
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...
In this paper we summarize recent results on finding tight semidefinite programming relaxations for ...
This manuscript shows the following results: 1. The integrality ratio of the semidefinite program is...
We present randomized approximation algorithms for the maximum cut (MAX CUT) and maximum 2-satisfiab...
This report constitutes a close review of Williamson and Goemans ’ random-ized approximation algorit...
This thesis investigates various computational approaches to the Maximum Cut problem. It is generall...
In this paper, we consider the max-cut problem as studied by Goemans and Williamson [8]. Since the p...
The next technique we learn is designing approximation algorithms using rounding semidefinite progra...
Let ff ' 0:87856 denote the best approximation ratio currently known for the Max Cut problem o...
In this paper, we consider a class of quadratic maximization problems. One important instance in tha...
SL,BAEb#[1 programming based approximation algorithms, such as the Goemans and Williamson approximat...
AbstractAn approximation algorithm for the maximum cut problem is designed and analyzed; its perform...
AbstractMetric MAX-CUT is the problem of dividing a set of points in metric space into two parts so ...
We present an improved semidefinite programming based approximation algorithm for the MAX CUT prob-l...
We propose two new dependent randomized rounding algorithms for approximating the global maximum of ...
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...
In this paper we summarize recent results on finding tight semidefinite programming relaxations for ...
This manuscript shows the following results: 1. The integrality ratio of the semidefinite program is...
We present randomized approximation algorithms for the maximum cut (MAX CUT) and maximum 2-satisfiab...
This report constitutes a close review of Williamson and Goemans ’ random-ized approximation algorit...
This thesis investigates various computational approaches to the Maximum Cut problem. It is generall...
In this paper, we consider the max-cut problem as studied by Goemans and Williamson [8]. Since the p...
The next technique we learn is designing approximation algorithms using rounding semidefinite progra...
Let ff ' 0:87856 denote the best approximation ratio currently known for the Max Cut problem o...
In this paper, we consider a class of quadratic maximization problems. One important instance in tha...
SL,BAEb#[1 programming based approximation algorithms, such as the Goemans and Williamson approximat...
AbstractAn approximation algorithm for the maximum cut problem is designed and analyzed; its perform...
AbstractMetric MAX-CUT is the problem of dividing a set of points in metric space into two parts so ...
We present an improved semidefinite programming based approximation algorithm for the MAX CUT prob-l...
We propose two new dependent randomized rounding algorithms for approximating the global maximum of ...
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...
In this paper we summarize recent results on finding tight semidefinite programming relaxations for ...
This manuscript shows the following results: 1. The integrality ratio of the semidefinite program is...
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