YALMIP

YALMIP Yet another LMI parser. YALMIP is a free MATLAB toolbox for rapid prototyping of optimization problems. The package initially aimed at the control community and focused on semidefinite programming, but the latest release extends this scope significantly. YALMIP 3 can be used for linear programming, quadratic programming, second order cone programming, semidefinite programming, non-convex semidefinite programming, mixed integer programming, multi-parametric programming, geometric programming The main features of YALMIP are: Easy to install since it is entirely based on MATLAB code. Easy to learn : 3 new commands is all the user needs to get started. Easy to use : you define your constraints and objective functions using intuitive and standard MATLAB code. Automatic categorization of problems, and automatic solver selection Supports numerous external solvers, both free and commercial. The solvers supported by YALMIP are currently CDD, CSDP, CPLEX, DSDP, GLPK, KYPD, LINPROG, LMILAB, MAXDET, MOSEK, MPT, NAG, OOQP, PENBMI, PENSDP, QUADPROG, SDPA SDPT3 and SEDUMI.


References in zbMATH (referenced in 1066 articles , 1 standard article )

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  1. Papp, Dávid: Duality of sum of nonnegative circuit polynomials and optimal SONC bounds (2023)
  2. Akhmet, Ayazhan; Hare, Warren; Lucet, Yves: Bi-objective optimization for road vertical alignment design (2022)
  3. Alessandri, Angelo; Sanfelice, Ricardo G.: Hysteresis-based switching observers for linear systems using quadratic boundedness (2022)
  4. Allen, Cody; de Oliveira, Mauricio: A minimal cardinality solution to fitting sawtooth piecewise-linear functions (2022)
  5. Basile, Francesco; Boccia, Maurizio; De Tommasi, Gianmaria; Motta, Carlo; Sterle, Claudio: An optimization-based approach to assess non-interference in labeled and bounded Petri net systems (2022)
  6. Behzad, Hamid; Sadrnia, Mohammad Ali; Casavola, Alessandro; Ramezani, Amin; Darabi, Ahmad: Multiplicative fault estimation based on the energetic approach for linear discrete-time systems (2022)
  7. Bienstock, Daniel; Escobar, Mauro; Gentile, Claudio; Liberti, Leo: Mathematical programming formulations for the alternating current optimal power flow problem (2022)
  8. Dragomir, Radu-Alexandru; Taylor, Adrien B.; d’Aspremont, Alexandre; Bolte, Jérôme: Optimal complexity and certification of Bregman first-order methods (2022)
  9. Elmajidi, Azeddine; Elmazoudi, Elhoussine; Elalami, Jamila; Elalami, Noureddine: Dependent delay stability characterization for a polynomial T-S carbon dioxide model (2022)
  10. Gade, Jan-Lucas; Thore, Carl-Johan; Stålhand, Jonas: Identification of mechanical properties of arteries with certification of global optimality (2022)
  11. Guicherd, Romain; Trodden, Paul A.; Mills, Andrew R.; Kadirkamanathan, Visakan: Supervised-distributed control with joint performance and communication optimisation (2022)
  12. He, Yue; Kawai, Reiichiro: Moment and polynomial bounds for ruin-related quantities in risk theory (2022)
  13. Hosseinzadeh, Mehdi; Kolmanovsky, Ilya; Baruah, Sanjoy; Sinopoli, Bruno: Reference governor-based fault-tolerant constrained control (2022)
  14. Hosseinzadeh, Mehdi; Sinopoli, Bruno; Kolmanovsky, Ilya; Baruah, Sanjoy: ROTEC: robust to early termination command governor for systems with limited computing capacity (2022)
  15. Legat, Benoît; Dowson, Oscar; Garcia, Joaquim Dias; Lubin, Miles: MathOptInterface: a data structure for mathematical optimization problems (2022)
  16. Marandi, Ahmadreza; Ben-Tal, Aharon; den Hertog, Dick; Melenberg, Bertrand: Extending the scope of robust quadratic optimization (2022)
  17. Mishra, Prabhat K.; Chowdhary, Girish; Mehta, Prashant G.: Minimum variance constrained estimator (2022)
  18. Nguyen, Viet Anh; Kuhn, Daniel; Esfahani, Peyman Mohajerin: Distributionally robust inverse covariance estimation: the Wasserstein shrinkage estimator (2022)
  19. Niu, Yi-Shuai; Glowinski, Roland: Discrete dynamical system approaches for Boolean polynomial optimization (2022)
  20. Pereira, Renan L.; de Oliveira, Matheus S.: Mixed-sensitivity (\mathcalL_2) controller synthesis for discrete-time LPV/LFR systems (2022)

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