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Nonlinear analysis - DataFitting 1.7.27

DataFitting is a powerful statistical analysis program that performs linear and 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 to linearize such as:

y = (a - c) * exp(-b * x) + c

Quickly Find The Best Equations That Describe Your Data:

DataFitting gives students, teachers, engineers, researchers and other professionals the power to find the ideal model for even the most complex data, 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.

Graphically Review Curve Fit Results:

Once your data have been fit, DataFitting automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. You can preview your graph and output publication-quality graphs in several different configurations. A residual graph as well as parameter output is generated for the selected fitted equation. Data, statistical and numeric summaries are also available from within the report-panel.

Datafitting Has The Following Capabilities:

* A 38-digit precision math emulator for properly fitting high order polynomials and rationals.
* A robust fitting capability for nonlinear fitting that effectively copes with outliers and a wide dynamic Y data range.

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

1.7.27 [03-05-18]

Higher precision improvements

Other versions : 1.7.26 1.7.25 1.7.24 1.7.22 1.7.21 1.7.20 1.7.19 1.7.18 1.7.17 1.7.16 1.7.15 1.7.14 1.7.13 1.7.12 1.7.11 1.7.10 1.7.9 1.7.8 1.7.7 1.7.6 1.7.4 1.7.3

v1.7.26 [01-07-18]

Enhancement of the underlying algorithms

v1.7.25 [10-04-17]

Higher precision improvements

v1.7.24 [07-19-17]

Higher accuracy and larger extents

v1.7.22 [07-01-17]

Floating-point mechanism incorporated

v1.7.21 [05-14-17]

Enhanced performance and internal optimization

v1.7.20 [04-09-17]

Overhaul of the underlying algorithms

v1.7.19 [02-13-17]

Higher accuracy and larger extents

v1.7.18 [01-05-17]

Enhancement of the underlying algorithms

v1.7.17 [12-20-16]

Improved 38-digit precision math emulator

v1.7.16 [11-28-16]

Higher accuracy and larger extents

v1.7.15 [10-25-16]

Reduced memory usage and internal optimizations

v1.7.14 [08-29-16]

Higher precision enhancements

v1.7.13 [06-28-16]

Overhaul of the underlying algorithms

v1.7.12 [01-30-16]

Many new features and enhancement of the underlying algorithms

v1.7.11 [11-02-15]

Overhaul of the underlying algorithms; and many new features

v1.7.10 [01-03-15]

Enhancement of the underlying algorithms

v1.7.9 [01-07-14]

Internal optimizations

v1.7.8 [10-15-12]

Iterative solver improvement

v1.7.7 [02-08-12]

File and documentation

v1.7.6 [03-21-11]

New Release

v1.7.4 [02-02-10]

Major Update

v1.7.3 [06-27-09]

Major Update

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Predicted future versions and notices:

The constantly monitors the update of all programs, including information from the Nonlinear analysis - DataFitting 1.7.28 changelog file, however sometimes it can happen that data are not complete or are outdated.We assume that author continue's to develop 1.8.0 version with further advanced features, and soon you will be informed. Equally important 2.0.0 upgrades of the program we will continue to monitor. Full Nonlinear analysis - DataFitting description has been compared with the overall software database and our algorithm has found the following applications (are showed below).