TL;DR: In this paper, the evaluation of methods for scattered data interpolation and some of the results of the tests when applied to a number of methods are presented. But the evaluation process involves evaluation of the methods in terms of timing, storage, accuracy, visual pleasantness of the surface, and ease of implementation.
Abstract: Absract. This paper is concerned with the evaluation of methods for scattered data interpolation and some of the results of the tests when applied to a number of methods. The process involves evaluation of the methods in terms of timing, storage, accuracy, visual pleasantness of the surface, and ease of implementation. To indicate the flavor of the type of results obtained, we give a summary table and representative perspective plots of several surfaces.
TL;DR: A computational procedure for generating three-dimensional nonorthogonal surface-fitted mesh systems around wing-fuselage configurations is presented, based on the concept of transfinite interpolation, which makes it possible to generate single-block mappings with geometry data specified only at the outer boundaries of the computational domain.
Abstract: A computational procedure for generating three-dimensional nonorthogonal surface-fitted mesh systems around wing-fuselage configurations is presented. The method is based on the concept of transfinite interpolation, which has been extended to handle very general mapping function specifications at the boundaries, thereby making it possible to generate single-block mappings with geometry data specified only at the outer boundaries of the computational domain. Since it is a direct algebraic mapping technique, the method is very inexpensive in terms of computer cost. Different types of possible mappings are compared with respect to resolution and economy of nodal points. A procedure for a novel type of mapping, designated type O-O, is described and several plots of generated grids demonstrate the capabilities of the method. The singular lines inherent in every three-dimensional mesh for this type of surface geometry are also discussed.
TL;DR: In this paper, three interpolation techniques were applied to point data on soil moisture supply capacity in a 2km x 2 km area of cover sand in the eastern part of The Netherlands.
TL;DR: In this article, the authors give a natural definition of multivariate divided differences and construct the multivariate analog of Lagrange interpolation, and give a multivariate representation of a function f in terms of the above mentioned polynomials and divided differences.
TL;DR: In this paper, a collection of data analysis procedures derived from estimation of geographic interpolation parameters are discussed along with a procedure to obtain the best model, along with an example using reconnaissance groundwater data from the Plainview Quadrangle, Texas.
TL;DR: In this paper, a two-dimensional interpolation of image data is presented for a video display system, in which a one-dimensional interpolator performs the interpolation in both dimensions with data flow control so that images can be transmitted, scaled and displayed in real time.
Abstract: A two-dimensional interpolation of image data is pro
vided for a video display system, in which a one-dimensional
interpolator performs the interpolation in both dimensions
with data flow control so that images can be transmitted,
scaled and displayed in real time.
TL;DR: In this article, a general recurrence interpolation formula is obtained that contains as particular cases some extended Newton and Aitken-Neville interpolation formulas, which allows us to show the applications of this formula to multivariate interpolation.
TL;DR: This document contains the specifications for PCHIP, a new Fortran package for piecewise cubic Hermite interpolation of data that features software to produce a monotone and visually pleasing interpolant to monotones data.
Abstract: This document contains the specifications for PCHIP, a new Fortran package for piecewise cubic Hermite interpolation of data. It features software to produce a monotone and visually pleasing interpolant to monotone data. Such an interpolant may be more reasonable than a cubic spline if the data contains both steep and flat sections. Interpolation of cumulative probability distribution functions is another application.
TL;DR: In this article, the R-th order projectors are used to construct cubature formulas of interpolatory type and the degree of polynomial exactness is determined for these cubatures.
Abstract: Gordon [3], [4] introduced the Boolean method of multivariate interpolation. In the two-dimensional case Delvos-Posdorf [2] considered interpolation projectors which are Boolean sums of R tensor product Lagrange interpolation projectors. In this paper these R-th order projectors are used to construct cubature formulas of interpolatory type. For these cubature formulas we determine the degree of polynomial exactness. As an application the minimum point formulas of Morrow-Patterson [8] are constructed by Boolean methods.
TL;DR: In this article, some trivariate polynomial interpolation schemes which are related to the method of transfinite variariate blending function interpolation introduced by GORDON are discussed.
Abstract: In this paper we will discuss some trivariate polynomial interpolation schemes which are related to the method of transfinite trivariate blending function interpolation introduced by GORDON [6]. In particular we will derive explicit remainders for these interpolation schemes.
TL;DR: In this article, the authors used hourly wind data from 8 measurement stations in Oslo during a winter season to estimate spatial interpolation and extrapolation errors, using a homogeneous and isotropic version of Gandin's optimal prediction method.
TL;DR: It is shown that limited data leads to a degree of non-uniqueness of interpolation and extrapolation that only the imposition of a priori constraints can reduce.
Abstract: The aim of this paper is to consider the interpretation of limited data sets to represent functions which are bandlimited. It is shown that limited data leads to a degree of non-uniqueness of interpolation and extrapolation that only the imposition of a priori constraints can reduce. An approach is described to enable a priori information to be incorporated in a Fourier reconstruction scheme.
TL;DR: In this paper, an interpolation method based on B-spline functions is used in image reconstruction, and it is shown that this boundary condition has almost no influence on the image in the central region of the image space, because the error of the interpolation decreases rapidly.