Calculation of Cubic Smoothing Splines for Equally Spaced Data.
Chebyshev Approximation by Spline Functions with Free Knots.
Closed spline curves bounding maximal area.
Compactly Supported Fundamental Functions for Spline Interpolation.
Computation with wavelets in higher dimensions.
Construction of surface spline interpolants of scattered data over finite domains
Convergence of approximate splines via pseudo-inverses
Cubic splines with minimal norm
Natural cubic interpolatory splines are known to have a minimal -norm of its second derivative on the (or 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 splines (interpolation of function values and first derivatives) with spline knots different from the points of interpolation are discussed....