Finding a maximum clique in an arbitrary graph
SIAM Journal on Computing
Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Improved lower bounds on k-independence
Journal of Graph Theory
Dual quadratic estimates in polynomial and boolean programming
Annals of Operations Research
A branch and bound algorithm for the maximum clique problem
Computers and Operations Research
On maximum clique problems in very large graphs
External memory algorithms
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
On Dominating Sets and Independent Sets of Graphs
Combinatorics, Probability and Computing
Graph Theory with Applications to Engineering and Computer Science (Prentice Hall Series in Automatic Computation)
A short proof of König's matching theorem
Journal of Graph Theory
Finding maximum independent sets in graphs arising from coding theory
Proceedings of the 2002 ACM symposium on Applied computing
Ellipsoidal Approach to Box-Constrained Quadratic Problems
Journal of Global Optimization
A new trust region technique for the maximum weight clique problem
Discrete Applied Mathematics - Special issue: International symposium on combinatorial optimization CO'02
An exact solution method for unconstrained quadratic 0---1 programming: a geometric approach
Journal of Global Optimization
On characterization of maximal independent sets via quadratic optimization
Journal of Heuristics
Journal of Heuristics
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Two continuous formulations of the maximum independent set problem on a graph G=(V,E) are considered. Both cases involve the maximization of an n-variable polynomial over the n-dimensional hypercube, where n is the number of nodes in G. Two (polynomial) objective functions F(x) and H(x) are considered. Given any solution to x0 in the hypercube, we propose two polynomial-time algorithms based on these formulations, for finding maximal independent sets with cardinality greater than or equal to F(x0) and H(x0), respectively. A relation between the two approaches is studied and a more general statement for dominating sets is proved. Results of preliminary computational experiments for some of the DIMACS clique benchmark graphs are presented.