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Owning Palette: Mathematics VIs

Use the Fitting VIs to perform curve fitting analysis or regression.

Examples

The VIs on this palette can return mathematics error codes.

Palette Object	Description
Constrained Nonlinear Curve Fit	Uses either the Levenberg-Marquardt algorithm or the trust-region dog-leg algorithm to determine the set of parameters that best fit the set of input data points (X, Y) as expressed by a nonlinear function y = f(x,a), where a is the set of parameters. You must manually select the polymorphic instance to use.
Cubic Spline Fit	Uses cubic spline fitting to smooth a data set (X, Y) according to the balance parameter.
Curve Fitting	Computes the coefficients that best represent the input data based on the chosen model type.
Exponential Fit	Returns the exponential fit of a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.
Fitting on a Sphere	Determines the best spherical fit on a cloud of points in 3D.
Gaussian Peak Fit	Returns the Gaussian fit of a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.
General LS Linear Fit	Finds the k-dimension linear curve values and the set of k-dimension linear fit coefficients, which describe the k-dimension linear curve that best represents the input data set using the least-squares solution.
General Polynomial Fit	Returns the polynomial fit of polynomial order for a data set (X, Y) using the Least Square method.
Linear Fit	Returns the linear fit of a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.
Logarithm Fit	Returns the logarithmic fit of a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.
Nonlinear Curve Fit	Uses the Levenberg-Marquardt algorithm to determine the least squares set of coefficients that best fit the set of input data points (X, Y) as expressed by a nonlinear function y = f(x,a), where a is the set of coefficients. You must manually select the polymorphic instance to use.
Power Fit Coefficients	Returns the amplitude and power of the power fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.
Power Fit Intervals	Calculates statistical intervals of the best power fit for a data set (X, Y). You must manually select the polymorphic instance to use.
Power Fit	Returns the power fit of a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.

Subpalette	Description
Advanced Curve Fitting VIs	Use the Advanced Curve Fitting VIs to compute additional fit statistics and coefficients.

Examples

Refer to the following VIs for examples of using the Fitting VIs:

• labview\examples\analysis\regressn.llb
• labview\examples\math\optimiz.llb