References in zbMATH (referenced in 180 articles )

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  1. Arslan, Ali; Fantuzzi, Giovanni; Craske, John; Wynn, Andrew: Bounds on heat transport for convection driven by internal heating (2021)
  2. Dostert, Maria; de Laat, David; Moustrou, Philippe: Exact semidefinite programming bounds for packing problems (2021)
  3. Lourenço, Bruno F.; Muramatsu, Masakazu; Tsuchiya, Takashi: Solving SDP completely with an interior point oracle (2021)
  4. Magron, Victor; Safey El Din, Mohab: On exact Reznick, Hilbert-Artin and Putinar’s representations (2021)
  5. Massaccesi, G. E.; Rubio-García, A.; Capuzzi, P.; Ríos, E.; Oña, O. B.; Dukelsky, J.; Lain, L.; Torre, A.; Alcoba, D. R.: Variational determination of the two-particle reduced density matrix within the doubly occupied configuration interaction space: exploiting translational and reflection invariance (2021)
  6. Sekiguchi, Yoshiyuki; Waki, Hayato: Perturbation analysis of singular semidefinite programs and its applications to control problems (2021)
  7. Wang, Yuzhu; Tanaka, Akihiro; Yoshise, Akiko: Polyhedral approximations of the semidefinite cone and their application (2021)
  8. Cifuentes, Diego; Kahle, Thomas; Parrilo, Pablo: Sums of squares in Macaulay2 (2020)
  9. de Laat, David: Moment methods in energy minimization: new bounds for Riesz minimal energy problems (2020)
  10. Fantuzzi, Giovanni; Goluskin, David: Bounding extreme events in nonlinear dynamics using convex optimization (2020)
  11. Kobayashi, Ken; Takano, Yuich: A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems (2020)
  12. Permenter, Frank; Parrilo, Pablo A.: Dimension reduction for semidefinite programs via Jordan algebras (2020)
  13. Qian, Xun; Liao, Li-Zhi; Sun, Jie: A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming (2020)
  14. Sun, Defeng; Toh, Kim-Chuan; Yuan, Yancheng; Zhao, Xin-Yuan: SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0) (2020)
  15. Cafuta, Kristijan: Sums of Hermitian squares decomposition of non-commutative polynomials in non-symmetric variables using NCSOStools (2019)
  16. Ito, Naoki; Kim, Sunyoung; Kojima, Masakazu; Takeda, Akiko; Toh, Kim-Chuan: Algorithm 996: BBCPOP: a sparse doubly nonnegative relaxation of polynomial optimization problems with binary, box, and complementarity constraints (2019)
  17. Kimizuka, Masaki; Kim, Sunyoung; Yamashita, Makoto: Solving pooling problems with time discretization by LP and SOCP relaxations and rescheduling methods (2019)
  18. Komeiji, Hikaru; Kim, Sunyoung; Yamashita, Makoto: On the conditions for the finite termination of ADMM and its applications to SOS polynomials feasibility problems (2019)
  19. Lasserre, Jean-Bernard; Magron, Victor: In SDP relaxations, inaccurate solvers do robust optimization (2019)
  20. Magron, Victor; Safey El Din, Mohab; Schweighofer, Markus: Algorithms for weighted sum of squares decomposition of non-negative univariate polynomials (2019)

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