Skip to main content
Log in

Cutting planes for semidefinite relaxations based on triangle-free subgraphs

  • Original Paper
  • Published:
Optimization Letters Aims and scope Submit manuscript

Abstract

We show how to separate a doubly nonnegative matrix, which is not completely positive and has a triangle-free graph, from the completely positive cone. This method can be used to compute cutting planes for semidefinite relaxations of combinatorial problems. We illustrate our approach by numerical tests on the stable set problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Berman, A., Shaked-Monderer, N.: Completely Positive Matrices. World Scientific Publishing, Cleveland (2003)

    Book  MATH  Google Scholar 

  2. Bomze, I.M., Frommlet, F., Locatelli, M.: Copositivity cuts for improving SDP bounds on the clique number. Math. Program. 124, 13–32 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bomze, I.M., Locatelli, M., Tardella, F.: New and old bounds for standard quadratic optimization: dominance, equivalence and incomparability. Math. Program. 115, 31–64 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  4. Burer, S.: On the copositive representation of binary and continuous nonconvex quadratic programs. Math. Program. 120, 479–495 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  5. Burer, S., Anstreicher, K., Dür, M.: The difference between \(5\times 5\) doubly nonnegative and completely positive matrices. Linear Algebra Appl. 431, 1539–1552 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  6. Burer, S., Dong, H.: Separation and relaxation for cones of quadratic forms. Math. Program. 137, 343–370 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  7. Cottle, R.W., Habetler, G.J., Lemke, C.E.: On classes of copositive matrices. Linear Algebra Appl. 3, 295–310 (1970)

    Article  MathSciNet  MATH  Google Scholar 

  8. Dickinson, P.J.C., Gijben, L.: On the computational complexity of membership problems for the completely positive cone and its dual. Comput. Optim. Appl. 57, 403–415 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  9. Dickinson, P.J.C.: Geometry of the copositive and completely positive cones. J. Math. Anal. Appl. 380, 377–395 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  10. Dong, H., Anstreicher, K.: Separating doubly nonnegative and completely positive matrices. Math. Program. 137, 131–153 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  11. Drew, J.H., Johnson, C.R., Loewy, R.: Completely positive matrices associated with M-matrices. Linear Multilinear Algebra 37, 303–310 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  12. Hadeler, K.-P.: On copositive matrices. Linear Algebra Appl. 49, 79–89 (1983)

    Article  MathSciNet  MATH  Google Scholar 

  13. Haynsworth, E., Hoffman, A.J.: Two remarks on copositive matrices. Linear Algebra Appl. 2, 387–392 (1969)

    Article  MathSciNet  MATH  Google Scholar 

  14. Hildebrand, R.: The extreme rays of the \(5\times 5\) copositive cone. Linear Algebra Appl. 437, 1538–1547 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  15. Hoffman, A.J., Pereira, F.: On copositive matrices with \(-1, 0, 1\) entries. J. Comb. Theory (A) 14, 302–309 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  16. Kaplan, W.: A test for copositive matrices. Linear Algebra Appl. 313, 203–206 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  17. de Klerk, E., Pasechnik, D.V.: Approximation of the stability number of a graph via copositive programming. SIAM J. Optim. 12, 875–892 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  18. Peña, J., Vera, J., Zuluaga, L.F.: Computing the stability number of a graph via linear and semidefinite programming. SIAM J. Optim. 18, 87–105 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  19. Sponsel, J., Dür, M.: Factorization and cutting planes for completely positive matrices by copositive projection. Math. Program. 143, 211–229 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  20. Väliaho, H.: Criteria for copositive matrices. Linear Algebra Appl. 81, 19–34 (1986)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

We are grateful to the referees for their careful reading and helpful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mirjam Dür.

Additional information

This work was supported by Grant no. G-18-304.2/2011 by the German-Israeli Foundation for Scientific Research and Development (GIF).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Berman, A., Dür, M., Shaked-Monderer, N. et al. Cutting planes for semidefinite relaxations based on triangle-free subgraphs. Optim Lett 10, 433–446 (2016). https://doi.org/10.1007/s11590-015-0922-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11590-015-0922-3

Keywords

Navigation