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On the finite convergence of successive SDP relaxation methods

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  • Kojima, Masakazu
  • Tuncel, Levent

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  • 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.
    • Handle: RePEc:eee:ejores:v:143:y:2002:i:2:p:325-341
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    1. Masakazu Kojima & Akiko Takeda, 2001. "Complexity Analysis of Successive Convex Relaxation Methods for Nonconvex Sets," Mathematics of Operations Research, INFORMS, vol. 26(3), pages 519-542, August.
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    Cited by:

    1. 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.
    2. H. Tuy & H. Tuan, 2013. "Generalized S-Lemma and strong duality in nonconvex quadratic programming," Journal of Global Optimization, Springer, vol. 56(3), pages 1045-1072, July.

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