Set Optimization Options - MATLAB & Simulink (original) (raw)

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How to Set Options

You can specify optimization parameters using an options structure that you create using the optimset function. You then pass options as an input to the optimization function, for example, by calling fminbnd with the syntax

x = fminbnd(fun,x1,x2,options)

or fminsearch with the syntax

x = fminsearch(fun,x0,options)

For example, to display output from the algorithm at each iteration, set the Display option to 'iter':

options = optimset('Display','iter');

Options Table

Option Description Solvers
Display A flag indicating whether intermediate steps appear on the screen.'notify' (default) displays output only if the function does not converge.'iter' displays intermediate steps (not available with lsqnonneg). See Optimization Solver Iterative Display.'off' or 'none' displays no intermediate steps.'final' displays just the final output. fminbnd, fminsearch, fzero, lsqnonneg
FunValCheck Check whether objective function values are valid. 'on' displays an error when the objective function or constraints return a value that is complex or NaN.'off' (default) displays no error. fminbnd, fminsearch, fzero
MaxFunEvals The maximum number of function evaluations allowed. The default value is 500 for fminbnd and 200*length(x0) for fminsearch. fminbnd, fminsearch
MaxIter The maximum number of iterations allowed. The default value is 500 for fminbnd and 200*length(x0) for fminsearch. fminbnd, fminsearch
OutputFcn Display information on the iterations of the solver. The default is [] (none). See Optimization Solver Output Functions. fminbnd, fminsearch, fzero
PlotFcns Plot information on the iterations of the solver. The default is [] (none). For available predefined functions, see Optimization Solver Plot Functions. fminbnd, fminsearch, fzero
TolFun The termination tolerance for the function value. The default value is 1.e-4. See Tolerances and Stopping Criteria. fminsearch
TolX The termination tolerance for x. The default value is1.e-4, except forfzero, which has a default value ofeps (= 2.2204e-16), and lsqnonneg, which has a default value of10*eps*norm(c,1)*length(c). See Tolerances and Stopping Criteria. fminbnd, fminsearch, fzero, lsqnonneg

Tolerances and Stopping Criteria

The number of iterations in an optimization depends on the stopping criteria for the solver. These criteria include several tolerances you can set. Generally, a tolerance is a threshold which, if crossed, stops the iterations of a solver.

Tip

Generally, set the TolFun and TolX tolerances to well above eps, and usually above 1e-14. Setting small tolerances does not guarantee accurate results. Instead, a solver can fail to recognize when it has converged, and can continue futile iterations. A tolerance value smaller than eps effectively disables that stopping condition. This tip does not apply to fzero, which uses a default value of eps forTolX.

Note

Unlike other solvers, fminsearch stops when it satisfies both TolFun and TolX.

Output Structure

The output structure includes the number of function evaluations, the number of iterations, and the algorithm. The structure appears when you provide fminbnd, fminsearch, or fzero with a fourth output argument, as in

[x,fval,exitflag,output] = fminbnd(@humps,0.3,1);

The details of the output structure for each solver are on the function reference pages.

The output structure is not an option that you choose with optimset. It is an optional output for fminbnd, fminsearch, and fzero.

See Also

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