Nonlinear Fitting

MagicPlot Pro is a handy tool for scientific and engineer data processing, plotting and nonlinear fitting. MagicPlot Pro is powerful enough and consistent. Get MagicPlot Pro and take it for a spin to see what it can actually do for you! Advantages * Compact: Single file ~2 MB * Multilevel... Platforms: Linux

MagicPlot is a handy tool for scientific and engineer data processing, plotting and nonlinear fitting. MagicPlot is powerful enough and consistent. Advantages * Compact: Single file ~2 MB * Multilevel undo function for all actions * Useful plot navigation and scaling * Visual nonlinear... Platforms: All

MagicPlot Pro is a handy tool for scientific and engineer data processing, plotting and nonlinear fitting. MagicPlot Pro is powerful enough and consistent. Get MagicPlot Pro and take it for a spin to see what it can actually do for you! Advantages * Compact: Single file ~2 MB * Multilevel... Platforms: Windows

MagicPlot Pro is a handy tool for scientific and engineer data processing, plotting and nonlinear fitting. MagicPlot Pro is powerful enough and consistent. Get MagicPlot Pro and take it for a spin to see what it can actually do for you! Advantages * Compact: Single file ~2 MB * Multilevel... Platforms: Mac

MagicPlot is a handy tool for scientific and engineer data processing, plotting and nonlinear fitting. MagicPlot is powerful enough and consistent. Advantages * Compact: Single file ~2 MB * Multilevel undo function for all actions * Useful plot navigation and scaling * Visual nonlinear... Platforms: All

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND... Platforms: Matlab

DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can... Platforms: Windows, Windows 7, Other

Fityk [fi:tik] is a program for data processing and nonlinear curve fitting. It is primarily used... * by scientists who analyse data from powder diffraction, chromatography, photoluminescence and photoelectron spectroscopy, infrared and Raman spectroscopy, and other experimental techniques,... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can... Platforms: Windows

MagicPlot 1.3.2, Bug fixing and minor update release, Dec 10, 2010 * Added: Log10 scale * Added: 'Restore Auto Positioning' context menu item for manually positioned axes labels and legends * Added: Changing canvas size option: scale image or resize canvas only * Added: '% of Canvas... Platforms: Windows, Mac

SWRC Fit is a scientific tool for hydrologist. It fits several soil hydraulic models to measured soil water retention data by nonlinear fitting. It is written in numerical calculation language GNU Octave. Web interface is also available. Platforms: Windows, Mac, Linux

FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function.This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you to perform fits with multiple independent (more than one x)... Platforms: Matlab

Math tool for linear, nonlinear curve fitting and surface fitting. 1. Implement curve fitting and graphing of linear models and nonlinear models. 2. Implement surface fitting and graphing of any binary function models. 3. 4d data fitting and graphing. 4. Polynomial fitting and graphing. 5.... Platforms: Windows, Windows 7, Windows Server

The LAB Fit is a software for Windows developed for treatment and analysis of experimental data. At LABFit program you are able to: 1) Treat similar data; 2) Treat non-similar data; 3) Determine propagated error; 4) Plot 2D and 3D graph; 5) Execute math calculations (system of equations, roots of... Platforms: Windows, Windows CE

CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you... Platforms: Windows, Windows 7, Other

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. A statistical analysis provides confidence intervals, correlation and covariance matrices, identification of... Platforms: Windows

DataFit is a tool used to perform nonlinear regression (curve fitting), statistical analysis and data plotting. What sets DataFit apart from similar curve fitting and regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated... Platforms: Windows

DataFitX is a COM component (in-process ActiveX DLL) which allows you to add a powerful nonlinear regression (curve fitting) engine to your software with just a few simple lines of code. DataFitX is developed using COM, so it can be used in any environment that supports COM, including Microsoft... Platforms: Windows

fitChiSquare is a generalized chi-square fitting routine for any model function when data measurement errors are known; it returns the model parameters and their uncertainties at the delta chi-square = 1 boundary (68% confidence interval). It also returns the chi-square and degrees of freedom... Platforms: Matlab

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of... Platforms: Matlab