Visual Fitting is a math tool to implement linear and nonlinear curve fitting, 3d surface fitting, 4d volume data fitting and graphing.

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Visual Fitting

Features

A global optimistic method is used, so the result will not be "Failed" and
local optimistic.
Initial start values of the parameters can be free random ones.
Implement curve fitting and graphing of linear models.
Implement curve fitting and graphing of nonlinear models.
Implement surface fitting and graphing of any binary function models.
Volume fitting and graphing of any trinary function models.
Unary, binary and trinary polynomial fitting and graphing.
High quality 2d curves, 3d surfaces and 4d volume slices can be created
to visualize the fitting models.

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