Regression Analysis - DataFitting 1.7.6
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

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

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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

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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

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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

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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

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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.

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