MATLAB CURVE FITTING TOOLBOX - RELEASE NOTES Manuel d'utilisateur télécharger pdf (Page 30)

R2010b

10-2

New Spline Fitting

Curve Fitting Toolbox™ now contains all of the spline functions that were previously

available in Spline Toolbox™.

Splines are smooth piecewise polynomials. You can use the spline functions to create and

manipulate spline approximation models of data. You can create splines in piecewise

polynomial form (ppform) and B-form.

The spline functions are a collection of algorithms for data fitting, interpolation,

extrapolation, and visualization. The new spline features include a graphical user

interface for creating, visualizing, and manipulating splines. Additional functions enable

you to evaluate, plot, combine, differentiate, and integrate splines, manipulate breaks/

knots, and optimally place knots.

For more information see Spline Fitting in the Curve Fitting Toolbox User's Guide.

New Data Selections in Surface Fitting Tool

In Surface Fitting Tool, you can select matrices of the same size, or you can also now fit

surfaces to data stored as a table. “Table data” means that X and Y represent the row and

column headers of a table and the values in the table are the values of the Z output. Sizes

are compatible if X and Y are vectors of length n and m, and Z is a matrix of size [m,n].

For more details see Table Data in the Interactive Surface Fitting documentation.

Surface Fitting Tool can now read integer and floating-point data. You can now select

any numeric data in your workspace. Previously the tool would only accept vectors of

type double.

For more information see Interactive Data Selection in the Interactive Surface Fitting

documentation.

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MATLAB CURVE FITTING TOOLBOX - RELEASE NOTES Manuel d'utilisateur Page 30