![]() Of these algorithms, six offer in-situ noise removal using advanced SVD and Eigendecomposition methods. Select from any one of the 9 different procedures for extrapolating your data - 3 to predict ahead, 3 to predict earlier data, and 3 that predict in both directions. Increase the accuracy of your predictions with state-of-the-art AR (Autoregressive) procedures that offer the means to effectively extrapolate any data set. These equations and constraints can be of unlimited complexity. You can also add up to 100 external C or FORTRAN language functions to the TableCurve 2D equation set. And, unlike most curve fitting programs, TableCurve 2D's user-defined functions are compiled so custom curve fitting can be performed quickly, at nearly the speed as with the built-in equations. ![]()
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