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 468 articles , 1 standard article )

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  1. Adjé, Assalé; Garoche, Pierre-Loïc; Magron, Victor: A sums-of-squares extension of policy iterations (2017)
  2. Ahmadi, Amir Ali; Hall, Georgina: Sum of squares basis pursuit with linear and second order cone programming (2017)
  3. 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)
  4. Chuong, Thai Doan; Jeyakumar, V.: Finding robust global optimal values of bilevel polynomial programs with uncertain linear constraints (2017)
  5. D’Ambrosio, Claudia; Vu, Ky; Lavor, Carlile; Liberti, Leo; Maculan, Nelson: New error measures and methods for realizing protein graphs from distance data (2017)
  6. Ducuara, Andrés F.; Susa, Cristian E.; Reina, John H.: Not-Post-Peierls compatibility under noisy channels (2017)
  7. Dunning, Iain; Huchette, Joey; Lubin, Miles: JuMP: a modeling language for mathematical optimization (2017)
  8. Dym, Nadav; Lipman, Yaron: Exact recovery with symmetries for procrustes matching (2017)
  9. Harrow, Aram W.; Natarajan, Anand; Wu, Xiaodi: An improved semidefinite programming hierarchy for testing entanglement (2017)
  10. Hart, William E.; Laird, Carl D.; Watson, Jean-Paul; Woodruff, David L.; Hackebeil, Gabriel A.; Nicholson, Bethany L.; Siirola, John D.: Pyomo -- optimization modeling in Python (2017)
  11. Harwood, Stuart M.; Barton, Paul I.: How to solve a design centering problem (2017)
  12. Korda, Milan; Jones, Colin N.: Stability and performance verification of optimization-based controllers (2017)
  13. Kumar, Mani Kant; Kokil, Priyanka; Kar, Haranath: A new realizability condition for fixed-point state-space interfered digital filters using any combination of overflow and quantization nonlinearities (2017)
  14. Kustov, Arkadiy Yu.; Timin, Victor N.: Anisotropy-based analysis for finite horizon time-varying systems with non-centered disturbances (2017)
  15. Lacerda, Márcio J.; Seiler, Peter: Stability of uncertain systems using Lyapunov functions with non-monotonic terms (2017)
  16. Natarajan, Karthik; Teo, Chung-Piaw: On reduced semidefinite programs for second order moment bounds with applications (2017)
  17. Nie, Jiawang; Wang, Li; Ye, Jane J.: Bilevel polynomial programs and semidefinite relaxation methods (2017)
  18. Pakazad, Sina Khoshfetrat; Hansson, Anders; Andersen, Martin S.; Nielsen, Isak: Distributed primal-dual interior-point methods for solving tree-structured coupled convex problems using message-passing (2017)
  19. Ramasamy, S.; Nagamani, G.: Dissipativity and passivity analysis for discrete-time complex-valued neural networks with leakage delay and probabilistic time-varying delays (2017)
  20. Ríos, Héctor; Hetel, Laurentiu; Efimov, Denis: Nonlinear impulsive systems: 2D stability analysis approach (2017)

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