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 595 articles , 1 standard article )

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  1. Abou Jaoude, Dany; Farhood, Mazen: Balanced truncation model reduction of nonstationary systems interconnected over arbitrary graphs (2017)
  2. Abou Jaoude, Dany; Farhood, Mazen: Distributed control of nonstationary LPV systems over arbitrary graphs (2017)
  3. Adjé, Assalé; Garoche, Pierre-Loïc; Magron, Victor: A sums-of-squares extension of policy iterations (2017)
  4. Ahmadi, Amir Ali; Hall, Georgina: Sum of squares basis pursuit with linear and second order cone programming (2017)
  5. Akbari Hamed, Kaveh; Grizzle, Jessy W.: Reduced-order framework for exponential stabilization of periodic orbits on parameterized hybrid zero dynamics manifolds: application to bipedal locomotion (2017)
  6. Anqi Fu, Balasubramanian Narasimhan, Stephen Boyd: CVXR: An R Package for Disciplined Convex Optimization (2017) arXiv
  7. Chen, Chen; Atamtürk, Alper; Oren, Shmuel S.: A spatial branch-and-cut method for nonconvex QCQP with bounded complex variables (2017)
  8. Chuong, Thai Doan; Jeyakumar, V.: Finding robust global optimal values of bilevel polynomial programs with uncertain linear constraints (2017)
  9. Dabbene, Fabrizio; Henrion, Didier; Lagoa, Constantino M.: Simple approximations of semialgebraic sets and their applications to control (2017)
  10. D’Ambrosio, Claudia; Vu, Ky; Lavor, Carlile; Liberti, Leo; Maculan, Nelson: New error measures and methods for realizing protein graphs from distance data (2017)
  11. Deori, Luca; Garatti, Simone; Prandini, Maria: Trading performance for state constraint feasibility in stochastic constrained control: a randomized approach (2017)
  12. Ducuara, Andrés F.; Susa, Cristian E.; Reina, John H.: Not-Post-Peierls compatibility under noisy channels (2017)
  13. Dunning, Iain; Huchette, Joey; Lubin, Miles: JuMP: a modeling language for mathematical optimization (2017)
  14. Dym, Nadav; Lipman, Yaron: Exact recovery with symmetries for procrustes matching (2017)
  15. Faraji-Niri, Mona; Jahed-Motlagh, Mohammad-Reza; Barkhordari-Yazdi, Mojtaba: Stochastic stability and stabilization of a class of piecewise-homogeneous Markov jump linear systems with mixed uncertainties (2017)
  16. Frezzatto, Luciano; de Oliveira, Maurício; Oliveira, Ricardo C.L.F.; Peres, Pedro L.D.: Robust non-minimal order filter and smoother design for discrete-time uncertain systems (2017)
  17. Ghasemi, Mohammad S.; Afzalian, Ali A.: Robust tube-based MPC of constrained piecewise affine systems with bounded additive disturbances (2017)
  18. Goebel, Gregor; Allgöwer, Frank: Semi-explicit MPC based on subspace clustering (2017)
  19. Hand, Paul: Phaselift is robust to a constant fraction of arbitrary errors (2017)
  20. Han, Fei; Wei, Guoliang; Ding, Dedui; Song, Yan: Finite-horizon $H_\infty$-consensus control for multi-agent systems with random parameters: the local condition case (2017)

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