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Part of the book series: Combinatorial Optimization ((COOP,volume 16))

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6.5 Conclusion

In this chapter, we studied the concentrator location problems with quadratic capacity constraints. We first considered the polytope defined by a quadratic knapsack inequality. We modified the definition of a cover for the quadratic case. We presented two branch and bound algorithms, one to solve the separation problem and the other one to compute the lifting coefficients for quadratic cover inequalities.

With this new definition of a cover, most of the results for the linear capacitated case remained valid for the quadratic case. This chapter gave a list of these results without proofs.

The summary of polyhedral results presented in Chapters 4, 5 and 6 is provided next.

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© 2005 Springer Science+Business Media, Inc.

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(2005). Problems with Quadratic Capacity Constraints. In: Concentrator Location in Telecommunications Networks. Combinatorial Optimization, vol 16. Springer, Boston, MA. https://doi.org/10.1007/0-387-23532-9_6

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