Least square curve fit with out differentiation(Gramdeterminant method)
Curdat.m is a data file. You can change to get your
need.
Polycurve.m is polynomial basis file.
Graf.m is the user’s basis file. You can change to
match your choice.
Curfit.m Gives the polynomial curve and the graph.
Gramplot.m gives the curve for selected basis.
Example ;
Gramplot() gives the result. Deviations and
locations are included.
Curfit(4) gives the result.
Least square curve fit is the principle. In the formulation,
differentiation is avoided. Instead,an inner-product is
designed and Gram-matrix is created. The curve F is
F = ∑ ai fi ; i = 1..n
ai are the parameters
fi are the basis functions
Citar como
Mathan Chandran (2024). Least square curve fit with out differentiation(Gramdeterminant method) (https://www.mathworks.com/matlabcentral/fileexchange/26085-least-square-curve-fit-with-out-differentiation-gramdeterminant-method), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- MATLAB > Mathematics > Interpolation >
- AI, Data Science, and Statistics > Curve Fitting Toolbox > Linear and Nonlinear Regression >
- Mathematics and Optimization > Optimization Toolbox > Least Squares >
- Mathematics and Optimization > Symbolic Math Toolbox > Mathematics > Calculus >
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