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roots of polynomial equations. solving linear equations. solving linear inequalities. solving equations involving absolute values. equations of straight lines. linear functions. systems of two linear equations in two variables.
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Assists with calculating networks of formulae, dynamic simulation, differential and linear equation solution, multiple equations and unknowns, builtin script language.
Fully functional expression calculator, unit converter symbolic differentiator, solver of system of linear equations.
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The element calculates determinants, linear equation systems and generates matrices.
linear and absolute value functions. equations of straight lines. systems of linear equations and inequalities. trigonometric equations.
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NET Matrix Library provides classes for object-oriented linear algebra in the . It can be used to solve systems of simultaneous linear equations. least-squares solutions of linear systems of equations.
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NET Matrix Library provides classes for object-oriented linear algebra in the . It can be used to solve systems of simultaneous linear equations. least-squares solutions of linear systems of equations.
NET Matrix Library provides classes for object-oriented linear algebra in the . It can be used to solve systems of simultaneous linear equations. least-squares solutions of linear systems of equations.
DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i. DataFitting determines the values of parameters for an equation. that cause the equation to best fit a set of data values. DataFitting can handle linear. 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 to linearize such as: y = (a - c) * exp(-b * x) + c Quickly Find the Best Equations that Describe Your Data: DataFitting gives students. by putting a large number of equations at their fingertips. It has built-in library that includes a wide array of linear and nonlinear models from simple linear equations to high order polynomials. .
DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i. DataFitting determines the values of parameters for an equation. that cause the equation to best fit a set of data values. DataFitting can handle linear. 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 to linearize such as: y = (a - c) * exp(-b * x) + c Quickly Find the Best Equations that Describe Your Data: DataFitting gives students. by putting a large number of equations at their fingertips. It has built-in library that includes a wide array of linear and nonlinear models from simple linear equations to high order polynomials. .
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CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Fit thousands of data into your equations in seconds: Curvefitter gives scientists. including equations that might never have been considered. You can build equation set which can include a wide array of linear and 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.
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CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Fit thousands of data into your equations in seconds: Curvefitter gives scientists. including equations that might never have been considered. You can build equation set which can include a wide array of linear and 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.
CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Fit thousands of data into your equations in seconds: Curvefitter gives scientists. including equations that might never have been considered. You can build equation set which can include a wide array of linear and 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.
CurveFitter performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Fit thousands of data into your equations in seconds: CurveFitter gives scientists. including equations that might never have been considered. You can build equation set which can include a wide array of linear and 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.
CurveFitter performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Fit thousands of data into your equations in seconds: CurveFitter gives scientists. including equations that might never have been considered. You can build equation set which can include a wide array of linear and 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.
CurveFitter performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Fit thousands of data into your equations in seconds: CurveFitter gives scientists. including equations that might never have been considered. You can build equation set which can include a wide array of linear and 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.
Nonlinear regression analysis - CurveFitter CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Quickly Find the Best Equations that Describe Your Data: Curvefitter gives engineers and researchers the power to find the ideal model for even the most complex data. by putting a large number of equations at their fingertips. Curvefitter''s built-in library includes a wide array of linear and nonlinear models from simple linear equations to high order polynomials. *A robust fitting capability for nonlinear fitting that effectively copes with outliers and a wide dynamic Y data range. Graphically Review Curve Fit Results: Once your data have been fit. Curvefitter automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. .
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Regression (Linear. Absolute Deviation); Standard Deviation; Plot functions; Solve Triangles; Simultaneous Linear Equations; Polynomial Roots; Navigation; Dates. .
linear and absolute value functions. systems of linear equations and inequalities.
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CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear. exponential and nonlinear functions. Quickly Find the Best Equations that Describe Your Data: Curvefitter gives engineers and researchers the power to find the ideal model for even the most complex data. by putting a large number of equations at their fingertips. Curvefitter''s built-in library includes a wide array of linear and nonlinear models from simple linear equations to high order polynomials. *A robust fitting capability for nonlinear fitting that effectively copes with outliers and a wide dynamic Y data range. Graphically Review Curve Fit Results: Once your data have been fit. Curvefitter automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. A residual graph as well as parameter output is generated for the selected fitted equation. .
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