Autoregressive error-processes, cubic splines and tridiagonal matrices

Hilmar Drygas

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Calculation of Cubic Smoothing Splines for Equally Spaced Data.

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Cubic splines with minimal norm

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Natural cubic interpolatory splines are known to have a minimal $L_{2}$ -norm of its second derivative on the $C^{2}$ (or $W_{2}^{2})$ class of interpolants. We consider cubic splines which minimize some other norms (or functionals) on the class of interpolatory cubic splines only. The cases of classical cubic splines with defect one (interpolation of function values) and of Hermite $C^{1}$ splines (interpolation of function values and first derivatives) with spline knots different from the points of interpolation...