Download FindGraph 2.39

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FindGraph 2.39
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(3.40 Mb)

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General Info

Price: 79.95 USD (Buy Now)

Hits: 360 visitors

Publisher: UNIPHIZ Lab

OS Support: Win98, WinME, WinNT 4.x, WinXP, Windows2000, Windows2003, Win Vista

License: Shareware

Date added: 24 Feb 2012

Last Update: 05 Feb 2012

Downloads: Total: 241

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FindGraph 2.39 screenshotScreenshots

Publisher's description

FindGraph is a graphing, curve-fitting, and digitizing tool for engineers, scientists and business. Discover the model that best describes your data.

FindGraph is a comprehensive graphing, curve fitting, and digitizing tool. FindGraph offers 12 generic fits, including linear regression, logistic functions, fourier approximation, rationals, neural networks, B-splines and parametric curves least squares approximations, plus a library of over 300 industry-specific 2D formulas. FindGraph uses the Levenberg - Marquardt non-linear algorithm and the Simplex algorithm to fit data. A built-in Wizard helps to apply different curve fits to discover the model that best describes the data. Peak fitting features are included. There is a feature that applies Singular Spectrum Analysis (SSA) to reconstruct and to forecast data series and to extract cyclic sygnals. The latest version includes an autoregression (ARIMA) model. The software enables you to smooth, interpolate, apply FFT and Wavelet filters, subtract, differentiate, integrate, transform data and curves, and to apply Procrustes analysis. The program comes with 200 built-in common graphing 2D functions support for polar, Cartesian, and parametric equations. A built-in Wizard helps to digitize the data. The program supports OLE automation and can be built-in to other software applications.

Version History

Version 2.35 added on: 15 Sep 2011
Version 2.30 added on: 02 Feb 2011
Version 2.15 added on: 01-12-2009
Version 2.11 added on: 21-07-2009
Version 1.960 added on: 09-10-2008


Changes on the new version:
Include autoregression (ARIMA) model.

Related Tags:

    math          graph          curve          fitting          equation          chart          plotting          visualize          digitizing          drawing          functions          b-spline          parametric          approximation          regression          logistic          data-analysis          spline          interpolate      

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