Curve Fitting Software Download

 
 

NLREG

NLREG performs nonlinear regression and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional line and three dimensional surface plots can be generated.

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TriLookup Mac

Excel add-in with eleven powerful worksheet functions for 1, 2 and 3 variable lookup and interpolation. Interpolation modes include: closest-value, linear, piecewise parabolic or hyperbolic, cubic spline and polynomial up to 20th order. Handles tables with missing data. Fits polynomial curves through a set of X-Y points, returns table of polynomial coefficients and finds the best fit curve. Includes online help and examples for Windows and Mac.

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TriLookup

Excel add-in with eleven powerful worksheet functions for 1, 2 and 3 variable lookup and interpolation. Interpolation modes include: closest-value, linear, piecewise parabolic or hyperbolic, cubic spline and polynomial up to 20th order. Handles tables with missing data. Fits polynomial curves through a set of X-Y points, returns table of polynomial coefficients and finds the best fit curve. Includes online help and examples for Windows and Mac.

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LAB Fit Curve Fitting Software

The LAB Fit is a software for Windows developed for treatment and analysis of experimental data. At LABFit you are able to: 1) Treat similar data; 2) Treat non-similar data; 3) Determine propagated error; 4) Plot 2D and 3D graphs; 5) Execute math calculations (system of equations, roots of function, etc); 6) Curve Fit (almost 500 functions at the library, with 1 and 2 independent variables, functions finder, rejection of data).

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LeoStatistic

Statistical analysis of experimental data. An automatically selection of applicable presentation for given combination of numbers of arguments and values with flexibility in choosing suitable interface to fit data with diverse of formulas. Input of data: copy/paste, database table, text file, image. Statistical schemes include probability distribution, curve and surface fit, near neighbors method. Results can be saved as bitmap and formulas.

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