Constrained Nonlinear Curve Fit VI
- Updated2025-07-30
- 1 minute(s) read
Uses either the Levenberg-Marquardt algorithm or the trust-region dogleg 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.
