Add to ORKGThis report constitutes a close review of Williamson and Goemans ’ random-ized approximation algorithm for MAX CUT presented in the article Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming, J. ACM, 1995. For MAX CUT they prove a per-formance guarantee of 0.87856. Prior to the appearance of their algorithm the best known performance guarantee was 12. This report has also been greatl
In a second seminal paper on the application of semidefinite programming to graph partitioning probl...
Abstract: "Polynomial-time approximation algorithms with non-trivial performance guarantees are pres...
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...
We present randomized approximation algorithms for the maximum cut (MAX CUT) and maximum 2-satisfiab...
In this paper, after introducing a new semidefinite programming formulation we present an improved r...
In this paper, we consider the max-cut problem as studied by Goemans and Williamson [8]. Since the p...
SL,BAEb#[1 programming based approximation algorithms, such as the Goemans and Williamson approximat...
The next technique we learn is designing approximation algorithms using rounding semidefinite progra...
AbstractAn approximation algorithm for the maximum cut problem is designed and analyzed; its perform...
This thesis investigates various computational approaches to the Maximum Cut problem. It is generall...
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...
This manuscript shows the following results: 1. The integrality ratio of the semidefinite program is...
Given an undirected graph G = (V,E), a cut in G is a subset S ⊆ V. Let S = V \S, and let E(S,S) deno...
We propose two new dependent randomized rounding algorithms for approximating the global maximum of ...
In a second seminal paper on the application of semidefinite programming to graph partitioning probl...
Abstract: "Polynomial-time approximation algorithms with non-trivial performance guarantees are pres...
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...
We present randomized approximation algorithms for the maximum cut (MAX CUT) and maximum 2-satisfiab...
In this paper, after introducing a new semidefinite programming formulation we present an improved r...
In this paper, we consider the max-cut problem as studied by Goemans and Williamson [8]. Since the p...
SL,BAEb#[1 programming based approximation algorithms, such as the Goemans and Williamson approximat...
The next technique we learn is designing approximation algorithms using rounding semidefinite progra...
AbstractAn approximation algorithm for the maximum cut problem is designed and analyzed; its perform...
This thesis investigates various computational approaches to the Maximum Cut problem. It is generall...
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...
This manuscript shows the following results: 1. The integrality ratio of the semidefinite program is...
Given an undirected graph G = (V,E), a cut in G is a subset S ⊆ V. Let S = V \S, and let E(S,S) deno...
We propose two new dependent randomized rounding algorithms for approximating the global maximum of ...
In a second seminal paper on the application of semidefinite programming to graph partitioning probl...
Abstract: "Polynomial-time approximation algorithms with non-trivial performance guarantees are pres...
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...