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Titlebook: Numerical Methods in Approximation Theory, Vol. 9; Dietrich Braess,Larry L. Schumaker (Stevenson Prof Book 1992 Springer Basel AG 1992 Inv

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书目名称Numerical Methods in Approximation Theory, Vol. 9
编辑Dietrich Braess,Larry L. Schumaker (Stevenson Prof
视频video
丛书名称International Series of Numerical Mathematics
图书封面Titlebook: Numerical Methods in Approximation Theory, Vol. 9;  Dietrich Braess,Larry L. Schumaker (Stevenson Prof Book 1992 Springer Basel AG 1992 Inv
描述This book is the official proceedings of a conference on Numerical Methods in Approximation Theory which was held at the Mathematisches Forschungs­ institut in Oberwolfach during the week of November 24~30, 1991. It contains refereed and edited papers by 20 of the 49 participants. The book is dedicated to the memory of Prof. Lothar Collatz who main­ tained a long and active interest in numerical approximation. It is the ninth in a series of volumes published by Birkhiiuser resulting from conferences on the subject held at Oberwolfach, and co-organized by Prof. Collatz. We now briefly describe the contents of the book. The paper of BASZEN­ SKI, DELVOS and JESTER deals with blending using sine double series expan­ sions of functions defined on the unit square. In addition to giving explicit error estimates for partial sums and for interpolating sine polynomials, they also show that Boolean sums yield almost the same asymptotic error estimates as the conventional tensor-product approach, but with a reduced number of terms. The paper of BEATSON and LIGHT discusses approximation by quasi­ interpolants which are sums of scaled translates of a one-parameter family of functions. They do no
出版日期Book 1992
关键词Invariant; addition; approximation; derivative; function; numerical method; theorem
版次1
doihttps://doi.org/10.1007/978-3-0348-8619-2
isbn_softcover978-3-0348-9702-0
isbn_ebook978-3-0348-8619-2Series ISSN 0373-3149 Series E-ISSN 2296-6072
issn_series 0373-3149
copyrightSpringer Basel AG 1992
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发表于 2025-3-21 20:54:18 | 显示全部楼层
Quasi-interpolation in the Absence of Polynomial Reproduction,r family of functions {..}.. A particular feature of the analysis is the fact that we do not require .. to reproduce low degree polynomials. In the first part of the paper, estimates are obtained for |(. − ...)(.)| as . → 0, when .. decays polynomially at infinity. These estimates are then used to a
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Estimating the Condition Number for Multivariate Interpolation Problems,nction .. The estimate depends on the properties of the Fourier transform ... In case the interpolation points are a subset of a regular grid, the bound is based on properties of the symbol of . (which is a periodization of ..). For scattered data interpolation, we assume that . is a positive defini
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Wavelets on a Bounded Interval,yer obtained orthonormal wavelets on a bounded interval by restricting Daubechies’ scaling functions and wavelets to [0, 1] and applying the Gram-Schmidt procedure to orthonormalize the restrictions. Our own approach — presented in the second part of the paper — is based on the semi-orthogonal Chui-
发表于 2025-3-22 09:21:34 | 显示全部楼层
Quasi-Kernel Polynomials and Convergence Results for Quasi-Minimal Residual Iterations,onsingular non-Hermitian linear systems. Motivated by the QMR method, in [.] we have introduced the general concept of quasi-kernel polynomials, and we have shown that the QMR algorithm is based on a particular instance of quasi-kernel polynomials. In this paper, we continue our study of quasi-kerne
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Necessary Conditions for Local Best Chebyshev Approximations by Splines with Free Knots,ree knots. Introducing the notion of an extended tangent cone, which also contains discontinuous splines, we derive an improved necessary condition for local best approximations from ... This condition is equivalently formulated as an alternant criterion. It shows that the corresponding error functi
发表于 2025-3-23 09:37:15 | 显示全部楼层
C1 Interpolation on Higher-Dimensional Analogues of the 4-Direction Mesh,1,...,.}. Sharp necessary and sufficient conditions on data at the vertices of Δ. are given that allow interpolation of the data by .-variate, .. piecewise polynomials of degree . + 1. For degree . + 2 and higher, values and normals at the vertices can be stably interpolated and a unit-norm .. Lagra
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