In numerical analysis, multivariate interpolation or multidimensional interpolation is interpolation on multivariate functions, having more than one variable...

Trilinear interpolation is a method of multivariate interpolation on a 3-dimensional regular grid. It approximates the value of a function at an intermediate...

Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate interpolation in one...

mathematics, bilinear interpolation is a method for interpolating functions of two variables (e.g., x and y) using repeated linear interpolation. It is usually...

unlikely to be used, as linear interpolation (see below) is almost as easy, but in higher-dimensional multivariate interpolation, this could be a favourable...

In mathematics, bicubic interpolation is an extension of cubic spline interpolation (a method of applying cubic interpolation to a data set) for interpolating...

distance weighting (IDW) is a type of deterministic method for multivariate interpolation with a known homogeneously scattered set of points. The assigned...

In the mathematical subfield numerical analysis, tricubic interpolation is a method for obtaining values at arbitrary points in 3D space of a function...

calculus Multivariate function Multivariate polynomial Multivariate interpolation Multivariate optimization Multivariate cryptography Multivariate division...

fraction of the sampling interval. It is often used also for multivariate interpolation, for example to resize or rotate a digital image. It has been...

In numerical analysis, polynomial interpolation is the interpolation of a given data set by the polynomial of lowest possible degree that passes through...

a Bézier surface is defined by a set of control points. Similar to interpolation in many respects, a key difference is that the surface does not, in...

In mathematics, linear interpolation is a method of curve fitting using linear polynomials to construct new data points within the range of a discrete...

everywhere else. Effectively, N i , n {\displaystyle N_{i,n}} is a linear interpolation of N i , n − 1 {\displaystyle N_{i,n-1}} and N i + 1 , n − 1 {\displaystyle...

In the mathematical field of numerical analysis, spline interpolation is a form of interpolation where the interpolant is a special type of piecewise polynomial...

fringes and some roughness). These algorithms are examples of multivariate interpolation on a uniform grid, using relatively straightforward mathematical...

linear statistics Gaussian process Multivariate interpolation Nonparametric regression Radial basis function interpolation Space mapping Spatial dependence...

Computer graphics and interactive techniques, doi Nasri, A. H. Surface interpolation on irregular networks with normal conditions. Computer Aided Geometric...

neighbor interpolation has also been developed that gives a measure of interpolation uncertainty. Inverse distance weighting Multivariate interpolation Sibson...

application of subdivision surfaces. DeRose wrote about "efficient, fair interpolation" and character animation. Stam described a technique for a direct evaluation...

dimensions Tricubic interpolation, a generalization to three dimensions Hermite interpolation Multivariate interpolation Spline interpolation Discrete spline...

surface that is created by (linear, quadratic, cubic or higher degree) interpolation of control points. A general nth-order Bézier triangle has (n +1)(n + 2)/2...

c0(0) = d0(0), c0(1) = d1(0), c1(0) = d0(1), c1(1) = d1(1); linear interpolation can be used to interpolate between c0 and c1, that is L c ( s , t )...

polyharmonic splines are used for function approximation and data interpolation. They are very useful for interpolating and fitting scattered data in...

considered as a multivariate generalization of basis splines (B-splines) and are generally used for multivariate approximation/interpolation. Geometrically...

geography Concepts and Techniques in Modern Geography Multivariate interpolation Spline interpolation Geodemographic segmentation Geodesy Geographic Information...

Thin plate splines (TPS) are a spline-based technique for data interpolation and smoothing. They were introduced to geometric design by Duchon. They are...

In computer graphics, the Loop method for subdivision surfaces is an approximating subdivision scheme developed by Charles Loop in 1987 for triangular...

interpolated. Multivariate interpolation Bicubic interpolation: a generalization of cubic interpolation to two dimensions Bilinear interpolation: an extension...

(information theory) Signal (information theory) Data conversion Interpolation Multivariate interpolation Subsampling (disambiguation) This disambiguation page lists...