What Is Optimization Toolbox?

fseminfAlgorithmLimitationsSee Alsofseminf uses cubic and quadratic interpolation techniques to estimatepeak values in the semi-infinite constraints. The peak values are usedto form a set of constraints that are supplied to an SQP method as in thefunction fmincon. When the number of constraints changes, Lagrangemultipliers are reallocated to the new set of constraints.The recommended sampling interval calculation uses the differencebetween the interpolated peak values and peak values appearing in thedata set to estimate whether the function needs to take more or fewerpoints. The function also evaluates the effectiveness of the interpolationby extrapolating the curve and comparing it to other points in the curve.The recommended sampling interval is decreased when the peak valuesare close to constraint boundaries, i.e., zero.Seealso“SQPImplementation”onpage3-32formoredetailsonthe algorithm used and the types of procedures displayed under theProcedures heading when the Display option is set to 'iter' withoptimset.The function to be minimized, the constraints, and semi-infiniteconstraints, must be continuous functions of x and w. fseminf mightonly give local solutions.When the problem is not feasible, fseminf attempts to minimize themaximum constraint value.@ (function_handle), fmincon, optimset, optimtool8-106