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Enhancing RLT-based relaxations for polynomial programming problems via a new class of v-semidefinite cuts

Author

Listed:
  • Hanif Sherali

    ()

  • Evrim Dalkiran

    ()

  • Jitamitra Desai

    ()

Abstract

No abstract is available for this item.

Suggested Citation

  • Hanif Sherali & Evrim Dalkiran & Jitamitra Desai, 2012. "Enhancing RLT-based relaxations for polynomial programming problems via a new class of v-semidefinite cuts," Computational Optimization and Applications, Springer, vol. 52(2), pages 483-506, June.
  • Handle: RePEc:spr:coopap:v:52:y:2012:i:2:p:483-506
    DOI: 10.1007/s10589-011-9425-z
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    File URL: http://hdl.handle.net/10.1007/s10589-011-9425-z
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    References listed on IDEAS

    as
    1. Helmberg, C., 2002. "Semidefinite programming," European Journal of Operational Research, Elsevier, vol. 137(3), pages 461-482, March.
    2. Samuel Burer & Dieter Vandenbussche, 2009. "Globally solving box-constrained nonconvex quadratic programs with semidefinite-based finite branch-and-bound," Computational Optimization and Applications, Springer, vol. 43(2), pages 181-195, June.
    3. Kojima, Masakazu & Tuncel, Levent, 2002. "On the finite convergence of successive SDP relaxation methods," European Journal of Operational Research, Elsevier, vol. 143(2), pages 325-341, December.
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    Cited by:

    1. repec:spr:annopr:v:253:y:2017:i:1:d:10.1007_s10479-016-2306-1 is not listed on IDEAS
    2. Martin Ballerstein & Dennis Michaels, 2014. "Extended formulations for convex envelopes," Journal of Global Optimization, Springer, vol. 60(2), pages 217-238, October.
    3. Evrim Dalkiran & Hanif Sherali, 2013. "Theoretical filtering of RLT bound-factor constraints for solving polynomial programming problems to global optimality," Journal of Global Optimization, Springer, vol. 57(4), pages 1147-1172, December.

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