Arc-Length Parameterization 389 § 2. Previous Work A number of researchers have developed numerical methods to compute approximate arc-length parameterizations of curves.

Cubic **Spline** Interpolation MAE 5093 Charles O'Neill 28 May 2002 Abstract A cubic **spline** routine was developed for unequally spaced sequential data points.

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Thus, the cubic **spline** technique is used to generatea function to fit the data. Moreover, it can be shown that data generated by a particular function is interpolated by a **spline** which behaves more or less like the original function.

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If we can reconstruct this matrix C, then we can create a cubic Hermite **spline s** using the Matlab function mkpp: s = mkpp(X, C) RecallthattheresultofcubicHermitesplineinterpolationwasapolynomialforeachinterval[L,R]

Functions to Models. 1 Modeling r computer raphics Faramarz amavati UNIVERSITY CALGARY B-**Spline** Basis functions Modeling r omputer Graphics Faramarz amavati UNIVERSITY CALGARY Functions to Models **Splines** Polynomials?? ?

2 An Example The default Rfunction for ttingasmoothing **spline** is called smooth.**spline**. The syntax is smooth.**spline**(x, y, cv=FALSE) where xshouldbea vector of values for input variable, yisavectorof values for the response (in the same order), and the switch cvcontrols whether to pick by ...

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