Interpolation by splines satisfying mixed boundary conditions
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Publication:1216569
DOI10.1007/BF02757500zbMath0303.41007MaRDI QIDQ1216569
Publication date: 1975
Published in: Israel Journal of Mathematics (Search for Journal in Brave)
Related Items (16)
Interpolation by periodic splines with Birkhoff knots ⋮ Multiple node splines with boundary conditions: The fundamental theorem of algebra for monosplines and Gaussian quadrature formulae for splines ⋮ Optimale Quadraturformeln und Perfektsplines ⋮ On n-widths and interpolation by polynomial splines ⋮ Die Eindeutigkeit \(L_2\)-optimaler polynomialer Monosplines ⋮ On an optimal method for the numerical differentiation of smooth functions ⋮ Spectral properties and oscillation theorems for mixed boundary-value problems of Sturm-Liouville type ⋮ Splines with maximal zero sets ⋮ Hermite-Birkhoff interpolation by splines ⋮ \(L_1\)-approximation verallgemeinerter konvexer Funktionen durch Splines mit freien Knoten ⋮ Comparison of optimal quadrature formulas ⋮ Die Eindeutigkeit \(L_2\)-optimaler polynomialer Monosplines ⋮ A fast algorithm for Gaussian type quadrature formulae with mixed boundary conditions and some lumped mass spectral approximations ⋮ The zeros of rational splines and complex splines ⋮ Widths of a class of differentiable functions ⋮ On polynomial monosplines with fixed point evaluations
Cites Work
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- The fundamental theorem of algebra for monosplines satisfying boundary conditions
- The Budan-Fourier theorem for splines
- The question of uniqueness for G.D. Birkhoff interpolation problems
- Periodic boundary-value problems with cyclic totally positive Green's functions with applications to periodic spline theory
- Total positivity, interpolation by splines, and Green's functions of differential operators
- Bemerkung zur Interpolation und zur Näherungstheorie der Balkenbiegung
- Characterization of Chebyshev Approximations by Splines
- On Polya Frequency Function. III. The Positivity of Translation Determinants With an Application to the Interpolation Problem by Spline Curves
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