What Is Optimization Toolbox?

Defining the ProblemFunction to MinimizeObjective function (required) is the nonlinear vector function whose sum ofsquares you want to minimize. Specify the function as a function handle ofthe form @objfun, whereobjfun.m is an M-file that returns a vector functionvalue or as an anonymous function. For a description of this M-file, see the“Input Arguments” on page 8-167 section of the function reference page.Derivatives specifies if the Jacobian is supplied in the objective function or ifit should be approximated by the solver.Start point (required) is the initial point (vector) for the algorithm.ConstraintsBounds are lower and upper bounds on the variables, specified as a vector.Function EquivalentFor the function that corresponds to this solver and more information on theproblem definition, see the lsqnonlin function.lsqnonneg Problem SetupLinear System of EquationsEnter matrix C and vector d that solves the system C*x-d in the least-squaressense subject to x ≥ 0. BothC and d must be real.5-25