Multivariate Approximation and SplinesGünther Nürnberger, Jochen W. Schmidt, Guido Walz |
Contents
Monotone Iterative Technique for Impulsive DifferentialDifference Equations | 13 |
Multivariate Cosine Wavelets | 29 |
On Almost Interpolation by Multivariate Splines | 45 |
Copyright | |
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Other editions - View all
Multivariate Approximation and Splines Günther Nürnberger,Jochen W. Schmidt,Guido Walz Limited preview - 2012 |
Multivariate Approximation and Splines Günther Nürnberger,Jochen W. Schmidt,Guido Walz Limited preview - 1997 |
Multivariate Approximation and Splines Günther Nürnberger,Jochen W. Schmidt,Guido Walz Snippet view - 1997 |
Common terms and phrases
1997 by Birkhäuser affine AI-set algebra algorithms Approximation and Splines Basel ISBN Besov spaces biorthogonal box spline Chebyshev Chui Comput cone consider construction convergence convex quadratic corresponding cubic splines defined denotes eigenvalue entire harmonic function equations error bounds exists exponential type finite formula Fourier function f function of exponential given grid harmonic functions harmonic Hilbert space Hence Hilbert space inequality integral interpolation sets J. W. Schmidt Lagrange interpolation Lemma Lie(G linear space linearly independent Math Mathematik matrix method minimization monotone Multivariate Approximation Multivariate interpolation nonnegative norm numerical Nürnberger obtain operator optimal orthonormal partition piecewise points preconditioner Proof properties quadratic programming quadratic spline radial basis functions respect result satisfies SIAM sigmoidal functions solution Splines G subset subspace sufficient conditions t₁ tensor product Theorem Theory trigonometric polynomials univariate Universität vector Walz eds wavelet wr,s zero