Now you can save time with TableCurve 2D - a linear and non-linear curve fitting program. This program will automate the curve fitting process for you in a single step with its built-in equations, enabling you to find the ideal model for your 2D data. TableCurve 2D includes equations from single linear to high order Chebyshev polynomials for data modeling and critical research. Besides there are 3,665 built-in equations, and you can enter up to 15 your own equations that can be processed at nearly the same speed as the built-in equations.
TableCurve 2D will automatically sort and plot the fitted equations according to the criteria that you set and will generate a residual graph for each fitted equation. You can analyze your fit results using the featured Review Curve Fit window. There are also six denoising/smoothing algorithms that I used to remove noise from my data. A non-parametric procedure and the Elgende composition denoising feature, where separation is based on the signal strength, is also available. For those equations unsuitable for parametric management, three non-parametric estimation procedures - Spline, Smoothing Spline and Local Regression - are offered.
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