Approximation of the Stability Number of a Graph via Copositive Programming
By Etienne de Klerk, Dmitrii V. Pasechnik. SIAM Journal on Optimization, 2002
375 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/69bd1b47154e17740351064553f09e72e47baa15
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- I. Itenberg
- Viatcheslav Kharlamov
- Eugenii Shustin
- Mirjam Dür
- Ricardo C. L. F. Oliveira
- Pedro Luis Dias Peres
- S. Burer
- Vladimir I. Arnold
In Numerical Analysis
- Mirjam Dür
- Ricardo C. L. F. Oliveira
- Pedro Luis Dias Peres
- S. Burer
- Eugenii Shustin
- Viatcheslav Kharlamov
- Vladimir I. Arnold
- I. Itenberg
Citations in the corpus
- Real algebraic geometry (2013, background): “Other topics concerning the topology of real algebraic varieties that I was not able to treat, but would have deserved to be treated, are, among others: cobordism classes of real algebraic varieties and morphisms [61, 42](1), cohomology of real algebraic varieties [67, 32, 34, 63, 33, 20], equivaria”
- Stability of polytopes of matrices via affine parameter-dependent lyapunov functions : Asymptotically exact LMI conditions (2005, methodology): “This strategy has also been used in [19,20] for stability analysis and in many other contexts involving copositive programming (see for instance [24]).”
- Copositive Programming – a Survey (2010, methodology): “Using a somewhat different approach, De Klerk and Pasechnik [23] derive the following formulation for the stability number α(G):”
- On Cones of Nonnegative Quadratic Functions (2003, neutral): “Recent results on approximating the usual co-positive cone by semidefinite programming can be found in Parrilo [15] and De Klerk and Pasechnik [9].”
- On the copositive representation of binary and continuous nonconvex quadratic programs (2009, background): “– Can we extend the bounds on approximation error proved by Bomze and de Klerk [2] for standard quadratic programming? Even more interesting, can we extend the polynomial-time approximation scheme for standard quadratic programming to more general constraint structures? – Are there cases in which on”