![]() Finding Lyapunov or Bendixson-Dulac functions for nonlinear dynamical.Mixed continuous-discrete optimization.Constrained or unconstrained optimization of polynomial functions.While this looks quite nice, perhaps you are actually interested in more ![]() The objective function is linear and the set of feasible u_i is convex. This is a convex optimization problem, since Here, the A_ij(x) are multivariate polynomials, and the decision variables What is a "sum of squares optimization program"? WhyĪ sum of squares (SOS) program, in the simplest case, has the form: All these are well-known semidefinite programming solvers, with SOSTOOLS handling internallyĪll the necessary reformulations and data conversion. The SOS programs can be solved using SeDuMi, SDPT3, CSDP, SDPNAL, SDPNAL+, CDCS, SDPA and MOSEK. Simple, flexible, and intuitive high-level notation. SOSTOOLS canīe used to specify and solve sum of squares polynomial problems using a very SOSTOOLS is a free MATLAB toolbox for formulatingĪnd solving sums of squares (SOS) optimization programs. įor the latest release, please visit our GitHub page. SOSTOOLS - A sum of squares optimization toolbox for MATLAB
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |