curve fitting

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curve fitting

[′kərv ‚fid·iŋ]
(statistics)
The calculation of a curve of some particular character (as a logarithmic curve) that most closely approaches a number of points in a plane.
References in periodicals archive ?
His topics include curve fitting and statistics, ray optics and glass equations, modulation transfer function and contrast, Zernike polynomials and wavefronts, metals and complex index of refraction, and completing and packaging programs.
Curve fitting [9] is based on picking feasible points on the fore-path and drawing a polynomial function, to fit the chosen feasible points.
A mathematical characteristic equation has been defined by using the data related to the electrical arc current and voltage characteristic and curve fitting methods with the help of Matlab curve fitting toolbox.
Curve fitting process, mainly by means of the basic principle of the least square method, and then determine the function of the fitting process.
Compressor model was based on curve fitting of volumetric and isentropic efficiencies obtained from experimental data.
After, this the second SOP curve fitting is constructed.
A curve fitting should be adjusted by controlling value of the tolerance.
The curve fitting algorithms are not discussed in this study because, depending on the type and distribution of data, different algorithms may be appropriate.
2]) in the figures shows that a function for curve fitting offered an adequate description within the range of 0.
Treatment of several mathematical topics follows, including Taylor series, matrices, root-finding, numerical integration, ordinary differential equations, and curve fitting.
In addition to the curve fitting precision, the uncertainty in the in-situ characteristic curve is also caused by uncertainty in each of the physical sensors as well.
They have been able to develop curve fitting models of the k-factor for Durban and curve fitting and kernel models of the k-factor for Maun Botswana using eight months and three years data respectively.

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