Interpolation

(redirected from interpolations)
Also found in: Dictionary, Thesaurus, Medical, Legal, Encyclopedia.

Interpolation

A method of approximating a price or yield that is unknown by using numbers that are known.

Interpolation

An estimate of an unknown variable using known variables that are somehow related to the unknown variable.
References in periodicals archive ?
1 Distribution functions in MHR interpolation and extrapolation
In addition to the effects of interpolation, any filtering operation will further alter the data, and the effect of tandem interpolation plus filtering might be different depending on the order of operations.
In this paper we will only deal with the interpolation of causal filters.
The basic methods used are the 3D RBF interpolation within the surface contour and the slice method of volume calculation (i.
This study confirmed that GIS Kriging interpolation technique is practically helpful in assessing variation in climate parameters.
A BEA study on which this article was based evaluated various methods for interpolation and recommended methods that are suitable for routine practice in the national accounts?
The first covers Lagrangian interpolation, the second cubic spline interpolation; these are the two most commonly used interpolation methods.
r] in the case of circular interpolation that have to be done by the operator direct on the machine tool panel when in used an insert with a corner radius [r.
This paper examines the performance of artificial neural networks (ANNs) as a method of spatial interpolation.
On the other hand, most of the former works are concentrated on the estimates of the interpolation error under anisotropic meshes, in particular, the readers are refer to [4] and [11] for some techniques of the anisotropic interpolation error estimates.
It can make unsophisticated users confuse spatial heterogeneity, spatial dependence, and non-spatial association in spatial interpolation and overlook the conceptual and methodological development of the combination of spatial association and non-spatial association into spatial modeling.