- 'lsqnonlin-proj' — In addition to 'lsqnonlin', enforce consistency of model
initial conditions at each function evaluation. This optimization method does not
support analytical Jacobians. - 'simplex' — Use the same cost function as lsqnonlin with the direct search
optimization routine found in fminsearch.
For more information about these optimization algorithms, see fmincon, lsqnonlin,
and fminsearch in the Optimization Toolbox documentation.
OptimizationOptions — Options for the optimization algorithm
structure
Options for the optimization algorithm, specified as the comma-separated pair consisting
of 'OptimizationOptions' and a structure created using the optimset function.
DisplayReport — Flag indicating whether to display the operating summary
report
'on' (default) | 'off' | 'iter'
Flag indicating whether to display the operating point summary report, specified as the
comma-separated pair consisting of 'DisplayReport' and one of the following:
- 'on' — Display the operating point summary report in the MATLAB command window
when running findop. - 'off' — Suppress display of the summary report.
- 'iter' — Display an iterative update of the optimization progress.
AreParamsTunable — Flag indicating whether to recompile the model when
varying parameter values
true (default) | false
Flag indicating whether to recompile the model when varying parameter values for
trimming, specified as the comma-separated pair consisting of 'AreParamsTunable'
and one of the following:
- true — Do not recompile the model when all varying parameters are tunable. If any
varying parameters are not tunable, recompile the model for each parameter grid
point, and issue a warning message. - false — Recompile the model for each parameter grid point. Use this option when
you vary the values of nontunable parameters.
findopOptions