approximate

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ap·prox·i·mate

(ă-prok'si-māt), To bring close together. In dentistry:
1. Proximate, denoting the contact surfaces, either mesial or distal, of two adjacent teeth.
2. Close together; denoting the teeth in the human jaw, as distinguished from the separated teeth in certain lower animals.
[L. ad, to, + proximus, nearest]

approximate

[əprok′simāt]
Etymology: L, ad + proximare, to come near
1 to draw two tissue surfaces close together as in the repair of a wound or to draw the bones of a joint together as in physical therapy.
2 almost correct.

approximate

1. Not exact, thereabouts, more or less, sort of, approximal Medtalk → Vox populi verb To make closer

ap·prox·i·mate

(ă-proksi-māt)
1. dentistry To bring close together.
2. (ă-proksi-măt) Proximate, denoting the contact surfaces, either mesial or distal, of two adjacent teeth.
3. Close together; denoting the teeth in the human jaw, as distinguished from the separated teeth in certain of the lower animals.
[L. ad, to, + proximus, nearest]

ap·prox·i·mate

(ă-proksi-măt)
1. Proximate, denoting the contact surfaces, either mesial or distal, of two adjacent teeth.
2. Close together; denoting the teeth in the human jaw, as distinguished from the separated teeth in certain lower animals.
[L. ad, to, + proximus, nearest]
References in periodicals archive ?
Having demonstrated that approximations obtained from translog estimating equations must be viewed as "exact" approximations, the implications for separability testing are fairly obvious.
In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format.
The backward error approach provides a natural way to recognize degenerate and near-degenerate approximations.
Cho: Weak contractions, common fixed points and invariant approximations, J.
In this paper we propose a (2,3)-Pade approximation for the computation of the root of the secular function of a real symmetric positive definite Toeplitz matrix.
1 shows a discrete set T [subst] on which the T dynamic differences approximations are constructed.
To achieve the better performance of the system for progressive transmission of the vector maps over the Internet, we offer to use the optimal methods for polygonal approximation with multiresolution quantization and entropy encoding of the quantized data.
This is the type of event for which the CLT can be used to justify a normal approximation for this probability.
We develop the computation of Minkowski measures approximations based on this reconstruction, then we present an algorithmic implementation based on configuration counts.
Premium approximations from both the counterparts are discussed.
Using approximations to accelerate engineering design optimisation, ICASE Report No.