Freeware Listing: Curve Fitting

Visual Fitting Pro is a comprehensive and reliable software that helps you to easily implement linear and nonlinear curve fitting.

By using Visual Fitting Pro you have the possibility to create 2D curves in order to visualize the fitting models, move, zoom in or zoom out the graphs in plot area, as well as to save graphs as BMP files.


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  • Platform: Windows 7, Windows 8, WinOther, WinVista

This example solves a complex curve fitting problem that involves parameter pooling and stratification using a nonlinear least-squares approach. This example also takes advantage of some new language features with MATLAB 7. * Anonymous functions * Nested functions.

  • Platform: Matlab, Scripts

KinetDS is a software for curve fitting particularly designed for kinetic (mechanistic and empirical) description of a substance dissolution from solid state. It was primarily designed for handling pharmaceutical dissolution tests


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  • Platform: Win7 x64, Windows 7, WinOther, WinVista, WinVista x64

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,

* to fit peaks bell-shaped functions (Gaussian, Lorentzian, Voigt, Pearson VII, bifurcated Gaussian, EMG, Doniach-Sunjic, etc.),

but any functions can be fitted to any 2D (x,y) data.

More dlT*
Features

* intuitive graphical interface (and also command line interface),
* support for many data file formats, thanks to the xylib library,
* dozens of built-in functions and support for user-defined functions,
* equality constraints,
* modelling error of the x...

  • Platform: WinOther

CurvFit (tm) is a curve fitting program for Windows. Lorentzian, Sine, Exponential and Power series are available models to match your data. A Lorentzian series is highly recommended for real data especially for multiple peaked and/or valleys data. CurvFit is another improved productivity example do to using Calculus (level) programming ... ie. minutes to solve, days or years to understand solution and what it implies (e.g. wrong model, sampling rate error, etc.). Helps learn 1) whether math model is good for given data; 2) convergence implies a reasonable solution; 3) how to select new starting initial parameter values.

  • Platform: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, WinVista, WinVista x64

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) variables. If measurement errors are unknown, it performs nonlinear least-squares fitting (chi-square equal to 1). To get started with FitChiTool, run the tutorial in the included HTML documentation (or run FitChiToolExample)..

  • Platform: Matlab, Scripts

This is a demo of MATLAB Builder for Excel. This demo explains how one can compile MATLAB code into an Excel based COM component using MATLAB Excel Builder and use the same in Excel VBA. This demo compiles a MATLAB code that depicts a curve fitting application into an Excel based COM component. Following this, it also explains how to use this component in an external Excel sheet. Download the executable (zip archive) and unzip it on your local machine. One of the files in this archive is a Word document that explains how to create and use the Excel component..

  • Publisher: Amit Jain
  • Date: 27-03-2013
  • Size: 174 KB
  • Platform: Matlab, Scripts

This demo shows how you can create a COM component from a MATLAB code using MATLAB COM Builder. This demo compiles a function that uses the basic curve fitting capability of MATLAB into a COM component and uses it in an external Visual Basic project. Download the file and unzip it in on your local drive. The word document contained in the archive shows how to build and use the component..

  • Publisher: Amit Jain
  • Date: 10-02-2013
  • Size: 143 KB
  • Platform: Matlab, Scripts

There is no selection in Curve Fitting Toolbox that the property of the plot could be changed, for example, log plot, loglog plot. This is useful expecially when you are fitting a log or exponential curve. Help included..

  • Platform: Matlab, Scripts

The Ezyfit toolbox for Matlab enables the user to perform simple curve fitting of one-dimensional data using arbitrary (non linear) fitting functions. It will add a new menu to the MATLAB interface, which will make it more easily to write ser-defined fit equations, make interactive selections or remove outliers. This toolbox also provides a set of command-line functions to perform 'programmatically' curve fitting: the user just has to type something like showfit('c a/x^n') and EzyFit gives you the values for c, a and n, and shows you the curve! Installation: Download and unzip the EzyFit Toolbox in the directory /toolbox/ezyfit of your Matlab installation.

  • Platform: Matlab, Scripts

Data is often given for discrete values along a continuum. However, you may require estimates at points between the discrete values. MathPad Curve Fitter describes techniques to fit curves to such data in order to obtain intermediate estimates. In addition, you may require a simplified version of a complicate function. One way to do this is to compute values of the function at a number of discrete values along the range of interest. Then a simpler function may be derived to fit these values. Both of these applications are known as curve fitting.

There are general approaches for curve fitting that are distinguished from each other on the basis of the amount of error associated with the data.

  • Platform: Win2000, Windows 7, WinOther, WinServer, WinVista

KinetDS is a software for curve fitting particularly designed for kinetic (mechanistic and empirical) description of a substance dissolution from solid state. It was primarily designed for handling pharmaceutical dissolution tests.

  • Platform: WinOther

The objective of this code is to explore the strength of least square curve fitting. Here the exception is that we will be using Auto regression techniques to formulate our "A" matrices. Linear difference model.pdf: Matrices formulation for ARX and ARMAX algorithms. Oldfaithful.doc: The problem statement OldFaithdata.m: The original data for the eruption of Oldfaithful systemID_ARMAX_oldfaithful.m The code for ARX and ARMAX prediction of volcano eruption.

  • Platform: Matlab, Scripts

peak-o-mat is a reliable application designed as a curve fitting program written in Python and it allows you to graphically represent spectroscopic data.

It allows for clearing, transforming, fitting, calibrating, etc. of spectra with few mouse clicks. peak-o-mat can easily be extended by writing own modules.

The tree control on the right side of the main window reflects the structure of the project. All sets in one plot are shown together in the plot area left of the tree. The currently selected set is displayed in red, the others in black.

You can select all sets of a plot by selecting the corresponding plot item or (only on wxGTK) a subset of sets within one plot by pressing SHIFT/CTRL-keys while selecting.

  • Platform: WinOther

Helps compatibility with Vernier's Graphical Analysis and Logger Pro software. Includes a converter to extract important data out of Vernier .ga3 and .cmbl data files, and spreadsheet to analyze the data with tables, graphs, and curve fitting..

  • Platform: Linux, Mac OS X, WinOther

grafix: SGML-based scientific diagram editor, can do arbitrary user-defined transformations of input data, data interpolation by several methods, and curve fitting to arbitrary user-defined functions; generates PostScript (EPS) output.

  • Platform: Linux, Unix

TablPlot for Linux.TablPlot is a easy to use little program that reads a number table and makes a Cartesian (XY) plot. Automatic (log)scaling, plot sizing, spline interpolation, curve fitting and PostScript output are included..

  • Platform: Linux, Unix

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of an array. A few examples of this code in use: Simple linear data, with purely additive N(0,1) gaussian noise: t = 0:10000; x = t + randn(size(t)); mv = estimatenoise(x) mv = 1.0166 Gaussian noise added to a sine wave (Nominal variance = 0.01) t = linspace(0,1,1000)'; x = sin(t*50) + randn(size(t))/10; mv = estimatenoise(x) mv = 0.

  • Platform: Matlab, Scripts

The model relies on the theory of strength of least square curve fitting and auto regression techniques..

  • Platform: Matlab, Scripts

A set of self-contained C++ routines to sample and resolve functions properly for plotting, as well as curve fitting routines that fit spectral features. This is mainly useful for scientific simulations where spectral data need to be fully resolved.
CurveUtils License - MIT License.

  • Platform: WinOther

Curve Fitting: Freeware | All

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