Table Of Contents
Nonlinear Curve Fitting (G Dataflow)
Version:
Last Modified: August 12, 2017
Determines the set of parameters that best fit the input data set as expressed by a nonlinear function.
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
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.
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.