Results 191 to 200 of about 26,851 (212)
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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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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, 1965Abstract : 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
2010Gegeben 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, 1963Piecewise-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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ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1942
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