Visual Fitting For Academic

Use Visual Fitting to implement linear, nonlinear curve fitting and graphing. 1. 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. 2. Implement curve fitting and graphing of linear models. 3. Implement curve fitting and graphing of nonlinear models. 4. Implement surface fitting and graphing of any binary function models. 5. Volume fitting and graphing of any trinary function models. 6. Unary, binary and trinary polynomial fitting and graphing. 7. High quality 2d curves, 3d surfaces and 4d volume slices can be created to visualize the fitting models.