supported methods for parameter estimation in simbiology -凯发k8网页登录

supported methods for parameter estimation in simbiology

simbiology^® supports a variety of optimization methods for least-squares and mixed-effects estimation problems. depending on the optimization method, you can specify parameter bounds for estimated parameters as well as response-specific error models, that is, an error model for each response variable. the following table summarizes the supported optimization methods in simbiology, fitting options, and the corresponding toolboxes that are required in addition to matlab^® and simbiology.

^† this column indicates whether the algorithm allows using parameter sensitivities to determine gradients of the objective function.

* when using fminsearch, nlinfit, or fminunc with bounds, the objective function returns inf if bounds are exceeded. when you turn on options such as funvalcheck, the optimization may error if bounds are exceeded during estimation. if using nlinfit, it may report warnings about the jacobian being ill-conditioned or not being able to estimate if the final result is too close to the bounds.

see also

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related topics

• nonlinear regression
• nonlinear mixed-effects modeling