Results 191 to 200 of about 26,851 (212)
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Constrained Interpolation

SIAM Journal on Scientific and Statistical Computing, 1980
The development of theory and algorithms relating to interpolation to data by functions which preserve the monotonicity and/or convexity of the data is presented. The functions used for interpolation are polynomials, piecewise polynomials, polynomial splines and exponential splines.
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Interpolation spaces and interpolation methods

Annali di Matematica Pura ed Applicata, 1965
Abstract : A study is made of the general structure of all possible interpolation methods. For some applications intermediate spaces between two given Banach spaces for which such a general interpolation method exists are characterized. The relevant intermediate spaces are those which are called interpolation spaces between two given Banach spaces. The
Aronszajn, N., Gagliardo, E.
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Polynomiale Interpolation sowie Shepard-Interpolation

2010
Gegeben sind n+1 Wertepaare \((x_{i},y_{i})\) mit \(x_{i}, y_{i} \in \mathbb{R}\), \(i=0(1)n\), in Form einer Wertetabelle:
Gisela Engeln-Müllges   +2 more
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Interpolating multipliers and related interpolators

Proceedings of the IEEE, 1963
Piecewise-linear and nonlinear interpolators (PLI and NLI) for the generation of a function of one variable produce an output signal from two or more input signals which represent tangents to the function. They have the additional property that an additive signal which is simultaneously applied to all input terminals is transferred through them.
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On Interpolation

Econometrica, 1933
J. Shohat, Jacques Chokhate
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Birkhoff Interpolation

SIAM Journal on Numerical Analysis, 1971
Lorentz, G. G., Zeller, K. L.
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Praktische Interpolation .

ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1942
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Multivariate Interpolation

1984
G. G. Lorentz, R. A. Lorentz
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Interpolation

2022
Wolfgang Dahmen, Arnold Reusken
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