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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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A Multi-Parameter Method for Nonlinear Least-Squares Approximation,inear least-squares method works on ℝ., it is shown that the additional computational requirements consist of . − 1 gradient evaluations plus .(. · .) operations. The application to discrete rational approximation is discussed, and numerical examples are given.
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Converse Theorems for Approximation on Discrete Sets II, 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 terms of an .. norm for the three classes of approximating functions in consideration.
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Book 1992stitut 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 volum
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Constructive Multivariate Approximation with Sigmoidal Functions and Applications to Neural Networkknown mapping existence theorem for three-layer feedforward neural networks. At the end, we apply our operators, resp. networks, to a special test function in order to get some concrete idea of their behaviour.
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Analog VLSI Networks,onnection networks is also given. It is shown that the shift register stage used in the horizontal and vertical scanner of the silicon retina implementation is in correspondence to the S-SEED technology in the hybrid optoelectronic implementation of interconnection networks.
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0373-3149 chungs­ 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 serie
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Quasi-Kernel Polynomials and Convergence Results for Quasi-Minimal Residual Iterations,l polynomials. In particular, we derive bounds for the norms of quasi-kernel polynomials. These results are then applied to obtain convergence theorems both for the QMR method, and for a transpose-free variant of QMR, the TFQMR algorithm.
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Approximation by Multivariate Splines: an Application of Boolean Methods,an be applied to noncommutative operators. Based on this theory, an explicit quasi-interpolant is constructed so that it gives rise to an efficient scheme of approximation by multivariate smooth splines. This scheme is shown to achieve the optimal rate of approximation.
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,L,-splines in ℝ,,operties of these functions and the space ..(..) in which they are defined. This enables us to characterize thin plate splines under tension. The ..-splines are explicitly given in terms of the Hilbert kernel.
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