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Improved approximation algorithms for MAX SAT | Semantic Scholar
Improved approximation algorithms for MAX SAT | Semantic Scholar

The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige  The Weizmann Institute. - ppt download
The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige The Weizmann Institute. - ppt download

Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and  Limitations Yuan Zhou Computer Science Department Carnegie Mellon  University. - ppt download
Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and Limitations Yuan Zhou Computer Science Department Carnegie Mellon University. - ppt download

The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige  The Weizmann Institute. - ppt download
The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige The Weizmann Institute. - ppt download

Universal Algorithms for Clustering Problems | ACM Transactions on  Algorithms
Universal Algorithms for Clustering Problems | ACM Transactions on Algorithms

Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and  Limitations Yuan Zhou Computer Science Department Carnegie Mellon  University. - ppt download
Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and Limitations Yuan Zhou Computer Science Department Carnegie Mellon University. - ppt download

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

On hierarchies of strong SDP relaxations for combinatorial optimization  problems by Siavosh Benabbas A thesis submitted in confo
On hierarchies of strong SDP relaxations for combinatorial optimization problems by Siavosh Benabbas A thesis submitted in confo

Universal Algorithms for Clustering Problems | ACM Transactions on  Algorithms
Universal Algorithms for Clustering Problems | ACM Transactions on Algorithms

Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and  Limitations Yuan Zhou Computer Science Department Carnegie Mellon  University. - ppt download
Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and Limitations Yuan Zhou Computer Science Department Carnegie Mellon University. - ppt download

PDF] Near-optimal approximation algorithm for simultaneous Max-Cut |  Semantic Scholar
PDF] Near-optimal approximation algorithm for simultaneous Max-Cut | Semantic Scholar

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and  Limitations Yuan Zhou Computer Science Department Carnegie Mellon  University. - ppt download
Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and Limitations Yuan Zhou Computer Science Department Carnegie Mellon University. - ppt download

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and  Limitations Yuan Zhou Computer Science Department Carnegie Mellon  University. - ppt download
Understanding the Power of Convex Relaxation Hierarchies: Effectiveness and Limitations Yuan Zhou Computer Science Department Carnegie Mellon University. - ppt download

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

Mean percentage integrality gaps for instances with 100 nodes. | Download  Scientific Diagram
Mean percentage integrality gaps for instances with 100 nodes. | Download Scientific Diagram

The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige  The Weizmann Institute. - ppt download
The Use of Semidefinite Programming in Approximation Algorithms Uriel Feige The Weizmann Institute. - ppt download

On the Lovász Theta function for independent sets in sparse graphs
On the Lovász Theta function for independent sets in sparse graphs

Universal Algorithms for Clustering Problems
Universal Algorithms for Clustering Problems