Curve Fitting Toolbox™ 1.2.1

Product Description

• Introduction and Key Features
• Working with the Curve Fitting Toolbox
• Previewing and Preprocessing Data
• Developing, Comparing, and Managing Models
• Fitting Models and Methods
• Analyzing Fits

Introduction

The Curve Fitting Toolbox provides graphical user interfaces (GUIs) and command-line functions for a variety of curve-fitting applications. It includes integrated tools for previewing and preprocessing data, developing and comparing standard and custom models, fitting with standard and robust methods, and analyzing fits.

All Curve Fitting Toolbox functions are written in the open MATLAB language. This means that you can inspect the algorithms, modify the source code, and create your own custom functions.

Key Features

• Interactive graphical user interface that unifies key curve-fitting tasks
• Preprocessing routines, including data scaling, sectioning, smoothing, and removal of outliers
• Extensive library of linear and nonlinear parametric fitting models, with optimized starting points and solver parameters for nonlinear models
• Varied linear and nonlinear fitting methods, including least squares, weighted least squares, and robust fitting (all with or without bounds)
• Custom linear and nonlinear model development
• Nonparametric fitting using splines and interpolants
• Interpolation, extrapolation, differentiation, and integration of fits

Two data models and their residuals, including confidence intervals for one model.The Curve Fitting Tool is a GUI that allows you to create, compare, manage, and analyze models. Click on image to see enlarged view.