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Regression Analysis - DataFitting 1.7.6

Regression Analysis - DataFitting 1.7.6: DataFitting performs regression analysis to estimate values of parameters. 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 handle linear, polynomial, exponential, and general nonlinear functions. DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that are impossible






DataFitting 1.7.9: DataFitting performs regression analysis to estimate values of parameters.
DataFitting 1.7.9

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 handle linear, polynomial, exponential, and general nonlinear functions. DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that are impossible

function, regression, least squares, parsing, equation, data, curve fit, fitting, nonlinear, formula, datafitting, curve fitting, non linear





Systems of Nonlinear Equations 1.00: Numerically solves systems of simultaneous nonlinear equations.
Systems of Nonlinear Equations 1.00

Nonlinear Equations numerically solves systems of simultaneous nonlinear equations. It can fully explore defined intervals to search for multiple solutions or quickly find solutions starting with random seeds. You may predefine constants and specify the error bound for the results. Handles a wide variety of functions, including trigonometric and hyperbolic functions. Results can be saved or printed. Includes a help file with instructions, example

nonlinear equations, equations, math, nonlinear, mathematics, science, simultaneous, engineering



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DataFitX 2.0

NonlinearRegression and MultipleNonlinearRegression objects provide methods and procedures for defining regression models with up to 100 fitting parameters and performing nonlinear regression on data containing up to 50 independent variables. The CubicSpline object performs cubic spline interpolation on 2-dimensional data. These objects provide properties and methods that return results for the fitting parameters, as well as detailed statistical

curve, math, statistics, regression, data, fitting, nonlinear, parameter, science, estimation



Regression Analysis - CurveFitter 4.5.6: CurveFitter performs regression analysis to estimate values of parameters.
Regression Analysis - CurveFitter 4.5.6

nonlinear models for any application. Its state-of-the-art data fitting includes the following capabilities: *Any user-defined equations of up to nine parameters and eight variables. *Linear equations. *Nonlinear exponential, logarithmic and power equations. *A 38-digit precision math emulator for properly fitting high order polynomials and rationals. Graphically Review Curve Fit Results: Once your data have been fit, Curvefitter automatically sorts

curve, curvefitter, function, trigonometric, regression, least squares, parsing, equation, curve fit, fitter, exponential, nonlinear, formula



CurveFitter 4.5.9: CurveFitter performs regression analysis to estimate values of parameters.
CurveFitter 4.5.9

nonlinear models for any application. Its state-of-the-art data fitting includes the following capabilities: *Any user-defined equations of up to nine parameters and eight variables. *Linear equations. *Nonlinear exponential, logarithmic and power equations. *A 38-digit precision math emulator for properly fitting high order polynomials and rationals. Graphically Review Curve Fit Results: Once your data have been fit, CurveFitter automatically sorts

curve, curvefitter, function, trigonometric, regression, least squares, parsing, equation, curve fit, fitter, exponential, nonlinear, formula



Ordinary Differential Equations 1.00: Solves boundary-value problems involving ordinary differential equations
Ordinary Differential Equations 1.00

Solves boundary-value or initial-value problems involving nonlinear or linear ordinary differential equations of any order, or systems of such. The conditions may also be linear or nonlinear. The solution will be a finite power or trigonometric series. You have one-click control of the graph with zooming, panning, centering, etc. The solution may be studied by the POWER & TRIG SERIES program to find roots, extrema, derivatives, integral, graph.

equations, math, differential equations, mathematics, science, ordinary, differential, engineering


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