CURVE and SURFACE FITTING with MATLAB

Curve Fitting Toolbox™ provides an app and 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 library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives. Curve Fitting Toolbox™ software allows you to work in two different environments: An interactive environment, with the Curve Fitting app and the Spline Tool A programmatic environment that allows you to write object-oriented MATLAB® code using curve and surface fitting methods