The fitting of a curve or surface through a set of observational data is a very frequent problem in different disciplines (mathematics, engineering, medicine, ...) with many interesting applications. This book
With other good properties, such as C 2-continuity and localization, the new splines can be implemented very well for interactive curve and surface fitting in computer-aided design (CAD). This paper describes the exact cubic expressions and their derivations. Their advantages over B-spline and B...
Curve and surface fitting with splines 来自 ResearchGate 喜欢 0 阅读量: 520 作者: P Dierckx 摘要: The problem of smoothing of an observational data occurs frequently in many problems that arise in science and engineering. The work by Dierckx concentrates on numerical algorithms for curve and ...
splines (mathematics)/ constrained B-spline curve fittingconstrained B-spline surface fittingpolygon net pointsthree-space2D curvespolygon pointsStraightforward B-spline surface fitting to a known set of data points was reported by Rogers et al. This technique generates polygon net points arbitrarily ...
Curve and Surface FittingCurve fitting is one of the most powerful and most widely used analysis tools in Origin. Curve fitting examines the relationship between one or more predictors (independent variables) and a response variable (dependent variable), with the goal of defining a "best fit" ...
Specify the x and y (and z, if surface fitting) data, a model (name, expression orfittypeobject), and (optionally) a fit options structure and an exclusion rule, with thefitfunction to perform the fit. Thefitfunction returns acfit(for curves) orsfit(for surfaces) object that encapsulates...
Curve and Surface Fitting 1Scope of the Chapter This chapter is concerned with the interpolation and approximation of data sets in one,two or three dimensions.The approximating functions available are Chebyshev polynomials,piecewise cubic Hermite polynomials,cubic splines,bicubic splines,and interpolants ...
Create a fit type using an anonymous function and specify independent and dependent parameters. g = fittype( @(a, b, c, d, x, y) a*x.^2+b*x+c*exp(... -(y-d).^2 ), 'independent', {'x', 'y'},... 'dependent', 'z' ); Create a fit type for a surface using an ...
The BSplineCurve class wraps the 1D routines "curfit", "splev", and "splder". The BSplineSurface class wraps the 2D routines "surfit", "bispev", and "parder". References Paul Dierckx, Curve and Surface Fitting with Splines, Oxford University Press, 1993.About...
The Curve Fitting app allows convenient, interactive use of Curve Fitting Toolbox functions, without programming. You can, however, access Curve Fitting Toolbox functions directly, and write programs that combine curve fitting functions with MATLAB® functions and functions from other toolboxes. This...