Extended and discretized formulations for the maximum clique problem
Computers and Operations Research
Clustering for bioinformatics via matrix optimization
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
An improved algorithm to test copositivity
Journal of Global Optimization
Journal of Global Optimization
Note: On the polyhedral lift-and-project methods and the fractional stable set polytope
Discrete Optimization
Hi-index | 0.00 |
We study certain linear and semidefinite programming lifting approximation schemes for computing the stability number of a graph. Our work is based on and refines de Klerk and Pasechnik’s approach to approximating the stability number via copositive programming [SIAM J. Optim., 12 (2002), pp. 875-892]. We provide a closed-form expression for the values computed by the linear programming approximations. We also show that the exact value of the stability number $\alpha(G)$ is attained by the semidefinite approximation of order $\alpha(G)-1$ as long as $\alpha(G) \leq 6$. Our results reveal some sharp differences between the linear and the semidefinite approximations. For instance, the value of the linear programming approximation of any order is strictly larger than $\alpha(G)$ whenever $\alpha(G) 1$.