smart_arrays_lmfit 2.0.1
smart_arrays_lmfit: ^2.0.1 copied to clipboard
Fits (x, y) data given as arrays to a specified model function using the Levenberg-Marquardt algorithm.
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).
Using this package #
You need Dart 2.0 or later.
Import the package using:
import 'package:smart_arrays_lmfit/smart_arrays_lmfit.dart';
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_peaks: Detect peaks in 1D and 2D arrays.
smart_lorentz-gauss: Compute Lorentz-Gauss (pseudo-Voigt) line shapes.