MATLAB CURVE FITTING TOOLBOX - RELEASE NOTES Manuel d'utilisateur télécharger pdf (Page 16)

R2013b

4-2

Thin-plate spline interpolation available from the Curve Fitting app and

the fit function

You can fit thin-plate spline surfaces in the Curve Fitting app and with the fit function.

Use thin-plate splines when you require both smooth surface interpolation and good

extrapolation properties.

In previous releases, you could use the tpaps function to fit thin-plate splines. However,

the tpaps function has a different syntax from the fit function and requires manual

preprocessing of data.

For details, see Interpolants.

Linear least-squares fitting for custom equations in the Curve Fitting app

In the Curve Fitting app, you can define custom linear equations that use linear least-

squares fitting. Linear least-squares fitting is more efficient and usually faster than

nonlinear fitting.

In previous releases, you could define linear equations in the Custom Equation fit type,

but the toolbox used nonlinear fitting that was slower. To use linear least-squares fitting

of custom linear equations, you had to use the legacy Curve Fitting Tool. You no longer

need to use the legacy tool because you can use the Linear Fitting model type in the

Curve Fitting app.

For details, see Custom Linear Fitting.

Functions and Function Elements Being Removed

Function Element

Name

What Happens When

You Use This Function

Element

Use This Instead Compatibility

Considerations

'Algorithm',

'Gauss-Newton'

name/value pair

argument as input to

fitoptions method

Errors 'Algorithm',

'Levenberg-

Marquardt'

name/value pair

argument as input to

fitoptions method

Use

'Levenberg-

Marquardt' as the

value for Algorithm

instead.

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