approximate

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Related to Approximations: successive approximations

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

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 ?
used the branch-and-bound algorithm in [20] to obtain a series of 5-round iterative linear approximations, which are utilized to construct an 18-round linear approximation with bias [2.sup.-56.14].
Now, the numeration system of approximation of solution is investigated using manifold under proper parameter by parts of solution in lower frequency spaces according to the reduced system of (3).
In the second, we recall most of the preliminary notions and the necessary definitions, and we prove the third approximation in the general case.
Now we say that the discrete time approximation [x.sub.h] with the step-size h converges strongly of order y at time T = Nh to the solution X(t) if
The aim of this paper is to introduce an abstract framework of certain approximation processes using a cosine operator functions concept.
The first-order saddlepoint approximation (FOSA) presented in [3], is based on the approximation of the limit state function at the most likelihood point in the original (not standard normal) space.
1 we have presented comparison between Q(x) function and its approximations. As one can see it is evident that accuracy improvement has been achieved in whole range of values, by using proposed novel approximation of Q(x), given by (19).
(10) must include approximations for both [PI] and [[phi].sup.vap.sub.w], and it is also desirable to minimize iteration.
As a result, we obtain first two SCEM approximations to problem (19) as follows:
Caption: Figure 14: Normalized typical negative first stroke current [1] and its approximations by DEXP, Pulse, Heidler's function, and 2P-AEf(2,1,2).
As an application, for the particular case of CEV model, we obtain an approximation of the at-the-money (ATM) implied volatility curve as a function of time and an approximation of the implied volatility smile as a function of the log-moneyness, close to the expiry date.