Curve Fitting Toolbox 2.2

Introduction

Curve Fitting Toolbox™ provides graphical user interfaces (GUIs) and command-line functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The toolbox also supports nonparametric modeling techniques, such as interpolation and smoothing.

Key Features

• Linear and nonlinear parametric models with optimized starting points and solver parameters for nonlinear models
• Custom equations for linear and nonlinear regression
• Nonparametric fitting methods, including splines, interpolants, and localized regression
• Interactive graphical user interfaces for curve and surface fitting
• Preprocessing routines, including data scaling, sectioning, smoothing, and outlier removal
• Post-processing routines, including interpolation, extrapolation, confidence intervals, integrals, and derivatives

Surface generated using the Custom Equation option of the Surface Fitting Tool. The tool supports a variety of fitting methods, including linear regression, nonlinear regression, interpolation, and smoothing.