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Merck
CN

Z361704

TableCurve

2D for Windows 3.1

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About This Item

UNSPSC Code:
41100000
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manufacturer/tradename

AISN, Spss

availability

not available in EU

General description

Automate the difficult task of finding the best equation to fit experimental data. Import data as ASCII files or from Lotus, Excel, or Quattro Pro spreadsheets. Then TableCurve, in a single processing step, fits the data to all of its built-in equations and ranks them by correlation coefficient. View results as graphs or numeric summaries. Output hardcopy graphs or create a file of fit results. Choose TableCurve 2D if your data involves curve-fitting two-variable (x,y) data; TableCurve 3D for surface-fitting three-variable (x,y,z) data.
TableCurve 2D® gives engineers and researchers the power to find the ideal model for even the most complex data, by putting thousands of equations at their fingertips. TableCurve 2D′s built-in library includes a wide array of linear and nonlinear models for any application including equations that may never have been considered. - from simple linear equations to high order Chebyshev polynomials. TableCurve 2D is the automatic choice for curve-fitting and data modeling for critical research. TableCurve 2D�s state-of-the-art data fitting includes capabilities not found in other software packages:
  • 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.
  • An AI Expert option that automatically selects the appropriate peak, transition or kinetics models for you.

Other Notes

  • A Pentium™ or compatible processor
  • 32 MB random-access memory (RAM)
  • Note: 64 MB RAM is recommended for processing large data sets and for the automation procedures
  • A hard disk with atleast 15 MB of available disk space
  • A graphics adapter with 800 × 600 resolution (SVGA) or higher 256 colors

Legal Information

TableCurve is a trademark of AISN Software


Regulatory Information

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