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Nonlinear Curve Fitting (G Dataflow)

Last Modified: August 12, 2017

Determines the set of parameters that best fit the input data set as expressed by a nonlinear function.

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Uses the trust-region dogleg method to determine the set of parameters that best fit the input data set as expressed by a nonlinear function. You implement the nonlinear function using a strictly typed VI reference.

Levenberg-Marquardt

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Uses the Levenberg-Marquardt method to determine the set of parameters that best fit the input data set as expressed by a nonlinear function. You define the nonlinear function using a formula.
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Uses the Levenberg-Marquardt method to determine the set of parameters that best fit the input data set as expressed by a nonlinear function. You implement the nonlinear function using a strictly typed VI reference.

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