1966 · 129 citations · 10 references
Natural SciencesMathematicsComputational GeometryComputational MechanicsOptimizationCurve InterpolationSpline CurvesBest ApproximationHilbert Space RepresentationsInterpolation SplinesLinear FunctionalsSpline ApproximationSpline Approximation TheorySpline InterpolationSplines
Introduction. It is the purpose of this note to show that the several minimum properties of odd degree polynomial spline functions [4, 18] all derive from the fact that spline functions are representers of appropriate bounded linear functionals in an appropriate Hilbert space. (These results were first announced in Notices, Amer. Math. Soc., 11 (1964) 681.) In particular, spline interpolation is a process of best approximation, i.e., of orthogonal projection, in this Hilbert space. This observation leads to a generalization of the notion of spline function. The fact that such generalized spline functions retain all the minimum properties of the polynomial splines, follows from familiar facts about orthogonal projections in Hilbert space. 1. Polynomial splines and their minimum properties. A polynomial spline function, s(x), of degree m # 0, having the n
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N. Aronszajn · Transactions of the American Mathematical Society · 1950 · 5.4K citations · Full text
Ordinary Differential Equations.
C. E. Langenhop, G. Birkhoff, G.-C Rota · American Mathematical Monthly · 1963 · 1.3K citations
Interpolation and Approximation.
Morris Newman, Philip J. Davis · American Mathematical Monthly · 1965 · 805 citations
Ordinary Differential Equations
J. C. Burkill, G. Birkhoff, G.-C Rota · The Mathematical Gazette · 1964 · 224 citations
Approximation properties of the spline fit
Stig Nord · BIT Numerical Mathematics · 1967 · 85 citations