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Nonlinear regression - CurveFitter 4.5.32

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.

Fit Thousands Of Data Into Your Equations In Seconds:

CurveFitter gives scientists, researchers and engineers the power to find the ideal model for even the most complex data, 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, 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 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 within the Review Curve Fit window.

With All This Power, It Is Still Easy To Use:

CurveFitter takes full advantage of the Windows user interface to simplify every aspect of operation -- from data import to output of results. Import data from txt format. Once your data are in the editor, create a custom equation set and start the automatic fitting process with a single mouse click. CurveFitter is highly intuitive, easy-to-use and remarkably simple to learn.

User's rating:

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History updates (Complete changelogs since the listing on this site)

4.5.32 [12-10-18]

Internal optimization of algorithms

Other versions : 4.5.31 4.5.30 4.5.29 4.5.28 4.5.27 4.5.26 4.5.25 4.5.24 4.5.22 4.5.21 4.5.20 4.5.19 4.5.18 4.5.17 4.5.16 4.5.15 4.5.14 4.5.13 4.5.12 4.5.11 4.5.10 4.5.9 4.5.8 4.5.7 4.5.6 4.5.4 4.5.3 1.3

v4.5.31 [10-15-18]

Iterative solver improvement

v4.5.30 [08-22-18]

Friendly user's interface

v4.5.29 [08-03-18]

Iterative solver improvement

v4.5.28 [05-14-18]

Enhancement of the underlying algorithms

v4.5.27 [03-03-18]

Higher precision improvements

v4.5.26 [01-07-18]

Enhancement of the underlying algorithms

v4.5.25 [10-01-17]

Higher precision improvements

v4.5.24 [07-20-17]

Higher accuracy and larger extents

v4.5.22 [07-02-17]

Floating-point mechanism incorporated

v4.5.21 [05-15-17]

Enhanced performance and internal optimization

v4.5.20 [04-09-17]

Overhaul of the underlying algorithms

v4.5.19 [02-18-17]

Higher accuracy and larger extents

v4.5.18 [01-05-17]

Enhancement of the underlying algorithms

v4.5.17 [12-18-16]

Improved 38-digit precision math emulator

v4.5.16 [11-26-16]

Higher accuracy and larger extents

v4.5.15 [10-23-16]

Reduced memory usage and internal optimizations

v4.5.14 [10-02-16]

Higher precision enhancements

v4.5.13 [06-26-16]

Overhaul of the underlying algorithms

v4.5.12 [01-15-16]

Many new features; and overhaul of the underlying algorithms

v4.5.11 [11-03-15]

Overhaul of the underlying algorithms; and many new features

v4.5.10 [01-03-15]

Enhancement of the underlying algorithms

v4.5.9 [01-08-14]

Internal optimizations

v4.5.8 [10-09-12]

Iterative solver improvement

v4.5.7 [02-09-12]

File and documentation

v4.5.6 [03-22-11]

New Release

v4.5.4 [02-07-10]

Major Update

v4.5.3 [06-08-09]

Major Update

v1.3 [02-13-08]

Major Update

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Predicted future versions and notices:

The constantly monitors the update of all programs, including information from the Nonlinear regression - CurveFitter 4.5.33 changelog file, however sometimes it can happen that data are not complete or are outdated.We assume that author continue's to develop 4.6.0 version with further advanced features, and soon you will be informed. Equally important 5.0.0 upgrades of the program we will continue to monitor. Full Nonlinear regression - CurveFitter description has been compared with the overall software database and our algorithm has found the following applications (are showed below).