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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Palpate

有毛就脱毛

A Multi-Parameter Method for Nonlinear Least-Squares Approximation,t minimizes each .. separately, and then applies a penalty strategy to gradually force the different minimizers to coalesce. Though the auxiliary nonlinear least-squares method works on ℝ., it is shown that the additional computational requirements consist of . − 1 gradient evaluations plus .(. · .)

crucial

Analog VLSI Networks,al network computation by the analog VLSI implementation technology, an analog model of the first stages of retinal processing has been constructed on a single silicon chip by CMOS VLSI circuitry and applied to machine vision. The purpose of this paper is to study the exactly solvable hexagonal resi

敲竹杠

Converse Theorems for Approximation on Discrete Sets II, consider approximation in the .. norm (. ∈ [1,+∞)) by polynomials, trigonometric polynomials and entire functions of exponential type. We extend some of the known results to approximation on a sequence of discrete sets instead of an interval. The main tools are upper estimates of an .. norm in term

expansive

Blending Approximations with Sine Functions,We show that Boolean sums yield almost the same asymptotic error estimates as the conventional tensor product approach but with a reduced number of terms. An example is given which shows that the asymptotic error (when the number of points increases) is exactly of the stated order.

急性

colostrum

Estimating the Condition Number for Multivariate Interpolation Problems,nd is based on properties of the symbol of . (which is a periodization of ..). For scattered data interpolation, we assume that . is a positive definite function where the Fourier transform can be properly bounded. As examples, we consider interpolation by box splines or by certain radial basis functions.

Keshan-disease

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