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 812 articles , 1 standard article )

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  1. de Oliveira, Fúlvia S. S.; Souza, Fernando O.: Further refinements in stability conditions for time-varying delay systems (2020)
  2. Ghusinga, Khem Raj; Lamperski, Andrew; Singh, Abhyudai: Moment analysis of stochastic hybrid systems using semidefinite programming (2020)
  3. Hohmann, Marc; Warrington, Joseph; Lygeros, John: A moment and sum-of-squares extension of dual dynamic programming with application to nonlinear energy storage problems (2020)
  4. Krishna, Ajay; Schiffer, Johannes; Raisch, Jörg: Distributed secondary frequency control in microgrids: robustness and steady-state performance in the presence of clock drifts (2020)
  5. Meng, Fanqin; Shen, Xiaojing; Wang, Zhiguo; Liu, Haiqi; Wang, Junfeng; Zhu, Yunmin; Varshney, Pramod K.: Multiple-source ellipsoidal localization using acoustic energy measurements (2020)
  6. Naderi Lordejani, Sajad; Besselink, Bart; Chaillet, Antoine; van de Wouw, Nathan: Model order reduction for linear time delay systems: a delay-dependent approach based on energy functionals (2020)
  7. Pavlov, Andrei; Shames, Iman; Manzie, Chris: Minimax strategy in approximate model predictive control (2020)
  8. Petsagkourakis, Panagiotis; Heath, William Paul; Theodoropoulos, Constantinos: Stability analysis of piecewise affine systems with multi-model predictive control (2020)
  9. Sun, Defeng; Toh, Kim-Chuan; Yuan, Yancheng; Zhao, Xin-Yuan: SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0) (2020)
  10. Agrawal, Akshay; Diamond, Steven; Boyd, Stephen: Disciplined geometric programming (2019)
  11. Ahmadi, Amir Ali; de Klerk, Etienne; Hall, Georgina: Polynomial norms (2019)
  12. Amaral, Paula Alexandra; Bomze, Immanuel M.: Nonconvex min-max fractional quadratic problems under quadratic constraints: copositive relaxations (2019)
  13. Argha, Ahmadreza; Su, Steven W.; Savkin, Andrey; Celler, Branko: A framework for optimal actuator/sensor selection in a control system (2019)
  14. Brunner, Florian David; Heemels, W. P. M. H.; Allgöwer, Frank: Event-triggered and self-triggered control for linear systems based on reachable sets (2019)
  15. Chen, Lejun; Edwards, Christopher; Alwi, Halim: Sensor fault estimation using LPV sliding mode observers with erroneous scheduling parameters (2019)
  16. Cherifi, Abdelmadjid; Guelton, Kevin; Arcese, Laurent; Leite, Valter J. S.: Global non-quadratic (\mathcalD)-stabilization of Takagi-Sugeno systems with piecewise continuous membership functions (2019)
  17. De Castro, Yohann; Gamboa, Fabrice; Henrion, Didier; Hess, Roxana; Lasserre, Jean-Bernard: Approximate optimal designs for multivariate polynomial regression (2019)
  18. Deghat, Mohammad; Ugrinovskii, Valery; Shames, Iman; Langbort, Cédric: Detection and mitigation of biasing attacks on distributed estimation networks (2019)
  19. Dickinson, Peter J. C.; Povh, Janez: A new approximation hierarchy for polynomial conic optimization (2019)
  20. Faybusovich, Leonid; Zhou, Cunlu: Long-step path-following algorithm for solving symmetric programming problems with nonlinear objective functions (2019)

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