Least Squares Curve Fitting
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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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LAB Fit Curve Fitting Software v.7. 2. 1938
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 propagated error (error propagation up to eight independent variables);
4) Plot 2D and 3D graph (normal, parametric, imported dataset, contour of maps);
5) Execute math calculations (system of linear equations, roots of function, non-linear equation, ordinary differential equation - ODE up to fifth order, system of differential equations - up to five first order ODE, calculator, etc);
6) Extract data (x;y) from a 2D graph (digitizing);
7) Curve Fit (nonlinear regression ...
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.
Regression Analysis - CurveFitter v.4.5.6
This process is also called curve fitting.
Fit thousands of data into your equations in seconds:
Curvefitter gives scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations ...
CurveFitter v.4.5.22
This process is also called curve fitting.
Fit thousands of data into your equations in seconds:
CurveFitter gives scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations ...
MathGrapher v.2.0
Curve fitting (linear and non-linear)
A number of least squares curve fitting methods can be selected4. Iterations
Calculate algebraic series or study iterative multi-dimensional maps. Several mathematical tools are available to analyse the results ...
Nonlinear regression - CurveFitter v.4.5.61
This process is also called curve fitting.
Fit thousands of data into your equations in seconds:
CurveFitter gives scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations ...
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.
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 ...
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 ...
GraphSight v.2.0.1
GraphSight v 2 is a software for math graphing solutions that has curve fitting capabilities. GraphSight 2 is perfect for high school and college math students. This utility is feature rich and comprehensive. It plots 2D graphs with comfortable navigation, ...
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 ...
OptiVec for Visual C++ v.6.3.5
Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets.
5. Statistics.
6. Analysis (derivatives, integrals, extrema, interpolation).
7. Graphical ...