Smart Arrays LM (Levenberg-Marquart) Fit
What the package can do for you
The purpose of this package is to fit "experimental data" to a "fit function" representing a model for the experimental data. These must be specified as an array of x values and an an array of the respective y values.
This curve fitter is using the Levenberg-Marquardt algorithm. The Dart implementation here was derived from https://github.com/reptillicus/jsfit.
The major API functionalities
- Available in the class
LMfit
. - Usage:
- call constructor
- call fit() or lmfit() ( = async version of fit())
Detailed API
Please view the detailed API documentation in the API
reference of this package (sidebar at the right of this page).
Related packages
smart_arrays_base
: Basic functions for 1D and 2D arrays
smart_arrays_numerics
: Numerics with 1D and 2D arrays
smart_arrays_compress
: Compress 1D and 2D arrays to a smaller size.
smart_arrays_dbstore
: Store 1D and 2D arrays along with metadata on the local device.
smart_arrays_plot_polyline
: Plot 1D arrays as polyline along with axes and more.
smart_arrays_peaks
: Detect peaks in 1D and 2D arrays.
smart_lorentz-gauss
: Compute Lorentz-Gauss (pseudo-Voigt) line shapes.