Marquardt Levenberg downloads |
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| DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (levenberg-marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string expressions), double precision input vectors of any size, event support, weighting, wide set of functions and operators and unlimited number of fitting parameters.
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Type: Freeware; Released: 01/28/2007; Filesize: 210.2 KB; Price: USD $0.00;
Platforms: Windows 95, Windows, Windows 98, Windows Me, Windows NT, Windows 2000, Windows XP, Windows 2003
Tags:
Analysis,
Fit,
Fitter,
Fitting,
Least,
Levenberg,
Linear,
Lm,
Marquardt,
Nlsf |
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| Programmable scientific and technical graphics optimized for automation of test and measurement systems, data acquisition and post-process. Especially suitable for scientists who would like to make high-performance, precise measurements in the experimental research. Features include powerful visual tools (graphic editor, plot digitizer, base line subtractor), wide set of numeric and symbolic calculations (integration, differentiation, smoothing, etc)
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Type: Freeware; Released: 04/10/2007; Filesize: 2.9 MB; Price: USD $0.00;
Platforms: Windows 95, Windows, Windows 98, Windows Me, Windows NT, Windows 2000, Windows XP, Windows 2003
Tags:
Acquisition,
Activex,
Analysis,
Automation,
Calculation,
Data,
Digitize,
Editor,
Experiment,
Fitter |
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| A revolution tools in the area of nonlinear regression and Global Optimization! Auto2Fit is a revolution tools and beats all other simliar ones in the area of nonlinear regression!
Almost all data analysis software packages (SPSS, SAS, Statistical,Origin Pro, DataFit, Stata or Systat) need end-users to provide/guess initial
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Type: Shareware; Released: 05/20/2005; Price: USD $288.00;
Platforms: Windows 95, Windows, Windows 98, Windows Me, Windows NT, Windows 2000, Windows XP, Windows 2003
Tags:
Curve Fit,
Genetic Algorithms,
Global Optimization,
Nonlinear Regression,
Parameter Estimation |
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