Category > Business::Math & Scientific Tools

- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster for mac OS 1.2.2
- ndCurveMaster 1.2
- ndCurveMaster for macOS 1.2
- CurveFitter 4.5.20
- CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called curve fitting.

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