References in zbMATH (referenced in 30 articles )

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  1. Bienstock, Daniel; Chen, Chen; Muñoz, Gonzalo: Outer-product-free sets for polynomial optimization and oracle-based cuts (2020)
  2. Gourtani, Arash; Nguyen, Tri-Dung; Xu, Huifu: A distributionally robust optimization approach for two-stage facility location problems (2020)
  3. Bonami, Pierre; Lodi, Andrea; Schweiger, Jonas; Tramontani, Andrea: Solving quadratic programming by cutting planes (2019)
  4. Elloumi, Sourour; Lambert, Amélie: Global solution of non-convex quadratically constrained quadratic programs (2019)
  5. Lu, Cheng; Deng, Zhibin; Zhou, Jing; Guo, Xiaoling: A sensitive-eigenvector based global algorithm for quadratically constrained quadratic programming (2019)
  6. Luo, Hezhi; Bai, Xiaodi; Lim, Gino; Peng, Jiming: New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation (2019)
  7. Zamani, Moslem: A new algorithm for concave quadratic programming (2019)
  8. Bonami, Pierre; Günlük, Oktay; Linderoth, Jeff: Globally solving nonconvex quadratic programming problems with box constraints via integer programming methods (2018)
  9. Galli, Laura; Letchford, Adam N.: A binarisation heuristic for non-convex quadratic programming with box constraints (2018)
  10. Kuang, Xiaolong; Zuluaga, Luis F.: Completely positive and completely positive semidefinite tensor relaxations for polynomial optimization (2018)
  11. Lu, Cheng; Deng, Zhibin: DC decomposition based branch-and-bound algorithms for box-constrained quadratic programs (2018)
  12. Beck, Amir; Pan, Dror: A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints (2017)
  13. Berman, Abraham (ed.); Bomze, Immanuel M. (ed.); Dür, Mirjam (ed.); Shaked-Monderer, Naomi (ed.): Copositivity and complete positivity. Abstracts from the workshop held October 29 -- Novermber 4, 2017 (2017)
  14. Chen, Chen; Atamtürk, Alper; Oren, Shmuel S.: A spatial branch-and-cut method for nonconvex QCQP with bounded complex variables (2017)
  15. Edirisinghe, Chanaka; Jeong, Jaehwan: Tight bounds on indefinite separable singly-constrained quadratic programs in linear-time (2017)
  16. Fampa, Marcia; Lee, Jon; Melo, Wendel: On global optimization with indefinite quadratics (2017)
  17. Lu, Cheng; Deng, Zhibin; Jin, Qingwei: An eigenvalue decomposition based branch-and-bound algorithm for nonconvex quadratic programming problems with convex quadratic constraints (2017)
  18. Puranik, Yash; Sahinidis, Nikolaos V.: Domain reduction techniques for global NLP and MINLP optimization (2017)
  19. Puranik, Yash; Sahinidis, Nikolaos V.: Bounds tightening based on optimality conditions for nonconvex box-constrained optimization (2017)
  20. Dong, Hongbo: Relaxing nonconvex quadratic functions by multiple adaptive diagonal perturbations (2016)

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