Products

Infinity Pharmaceuticals Standardizes on MATLAB® for Drug Discovery Data Analysis

"With MATLAB, we reduced our development time significantly. That has resulted in an annual savings of $100,000." - Dennis Underwood, Infinity Pharmaceuticals

Horizon Wind Energy Develops Revenue Forecasting and Risk Analysis Tools for Wind Farms

"The tools that we developed with MATLAB and MATLAB Compiler are much more reliable, scalable, and maintainable than our spreadsheet-based approach. We can sleep at night because we know the tools will work, we can add new capabilities and data inputs, and we can update the production system without getting IT involved." - Manuel Arancibia, Horizon Wind Energy

Curve Fitting Toolbox

Fit curves and surfaces to data using regression, interpolation, and smoothing

curve-fitting-toolbox 51093 wm cft3 fig1 w
Surface generated using the Surface Fitting Tool. The tool supports a variety of fitting methods, including linear regression, nonlinear regression, interpolation, and smoothing.

 

Curve Fitting Toolbox™ provides graphical tools 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 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 postprocessing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.

 

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