Results 241 to 250 of about 823,660 (265)
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Facial Plastic Surgery, 2017
AbstractNasal reconstruction has been articulated in the literature since 700 B.C. when the earliest iteration of the forehead flap was described in the Indian medical treatise, the Sushruta Samhita. Since then it has evolved into the interpolated flap which has served as a powerful tool for facial reconstruction.
Samkon Kaltho, Gado +4 more
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AbstractNasal reconstruction has been articulated in the literature since 700 B.C. when the earliest iteration of the forehead flap was described in the Indian medical treatise, the Sushruta Samhita. Since then it has evolved into the interpolated flap which has served as a powerful tool for facial reconstruction.
Samkon Kaltho, Gado +4 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
A Bayesian probability density for an interpolating function is developed, and its desirable properties and practical potential are demonstrated. This density has an often needed but previously unachieved property, here called cardinal interpolation, which ensures extrapolation to the density of the least squares linear model.
Steven C, Gustafson +2 more
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A Bayesian probability density for an interpolating function is developed, and its desirable properties and practical potential are demonstrated. This density has an often needed but previously unachieved property, here called cardinal interpolation, which ensures extrapolation to the density of the least squares linear model.
Steven C, Gustafson +2 more
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Interpolation Functors In Weak-Type Interpolation
Results in Mathematics, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fehér, F., Strauss, M. J.
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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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