Fit Curve Fitting


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LAB Fit Curve Fitting Software  v.7. 2. 1938

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 (grouped and ungrouped dataset, one or two samples);
2) Treat non-similar data;
3) Determine ...

Curve Fitting  v.2.01

Curve Fitting enables you to drag data points and their error bars with your mouse and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic.With your mouse, drag data points and their ...





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Curve Fitting Using Splines  v.1.0

Curve Fitting Using Splines enable you to experiment with various forms of splines. You may move the data points by dragging them with the mouse.
Cubic splines are a common class of functions which are used in many interpolation applications. The ...

Visual Fitting  v.2.5.0

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.

FitAll  v.6 2

FitAll is a general-purpose, nonlinear regression analysis (curve fitting) program that can be used to fit a set of experimental data to any of the defined functions (models). FitAll fits data to continuous, single-valued functions with the general form.

DataFitting  v.1.7.22

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 handle linear, polynomial, exponential, and general nonlinear functions.

FindGraph  v.2.48

FindGraph is a comprehensive graphing, curve fitting, and digitizing tool. FindGraph offers 12 generic fits, including linear regression, logistic functions, fourier approximation, rationals, neural networks, B-splines and parametric curves least squares ...

TableCurve 2D  v.5. 1. 2005

Now you can save time with TableCurve 2D - a linear and non-linear curve fitting program. This program will automate the curve fitting process for you in a single step with its built-in equations, enabling you to find the ideal model for your 2D data.

DataFit  v.9.0.59

DataFit is a science and engineering tool that simplifies the tasks of data plotting, regression analysis (curve fitting) and statistical analysis. What sets DataFit apart from similar curve fitting and regression programs is its ease of use. With the ...

Fityk  v.0.9.8

Fityk is user friendly, open source software for nonlinear curve fitting and data analysis. It is primarily used by scientists to analyze data from experiments (powder diffraction, chromatography, photoluminescence and infrared and Raman spectroscopy), ...

DataFitX  v.2.0

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 ...

MagicPlot Student  v.2.3

MagicPlot is an easy to use program for scientific and engineering data analysis, graphing and nonlinear curve fitting. MagicPlot provides publication-quality graphs. It is fast, lightweight and does not need installation. Various vector and bitmap export ...

CurveExpert Basic  v.1.40

CurveExpert Basic is a comprehensive curve fitting system for Windows. XY data can be modelled using a toolbox of linear regression models, nonlinear regression models, interpolation, or splines. Over 30 models are built-in, but custom regression models ...

CurveExpert Professional for Mac OS X  v.1.0.2

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are ...

CurveExpert Professional for Linux  v.1.0.2

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are ...

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