convergence factor


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convergence factor

[kən′vər·jəns ‚fak·tər]
(mapping)
For a specific chart or map projection, the factor which, when multiplied by the difference of longitude between points on two meridians, will give the convergence of the meridians. Also known as convergence constant.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

convergence factor

The ratio of earth convergence to a change of latitude. It is zero at the equator and maximum at the poles. Earth convergence is the angular difference between adjacent meridians at a particular position. See convergency (ii).
An Illustrated Dictionary of Aviation Copyright © 2005 by The McGraw-Hill Companies, Inc. All rights reserved
References in periodicals archive ?
With overlap L > 0, the classical Schwarz method has asymptotically, as L tends to 0, the convergence factor
The authors [28] also pointed out that if the convergence factor [mu] is chosen in (0,2/([[sigma].sup.2](A) + [[sigma].sup.2] (B))), Algorithm 2 will converge to the exact solution of (1).
The convergence factor gives an upper bound to the energy available from the electromagnetic zeropoint field and it is associated with the characteristic function H([omega]) of the zeropoint field.
which is the convergence factor of the two-subdomain SWR algorithm for the heat equation (1) with Dirichlet boundary condition (see [5]).
where [X.sub.m](n) is the reactance measured when the length of data window is n, [X.sub.set] is the setting reactance of distance protection, and k is the convergence factor, which is usually set 0.05.
In our studies the convergence factor in the bioequivalence testing of the drug-brand and meloxicam tablets was 76, while in the case of comparison between the brand and the meloxicam capsules the index was 52.
The convergence factor [mu] and [tau] are positive constant.
However, the right-hand side of (4.8) represents a more convenient bound on the convergence factor which directly depends on the parameters [member of], [alpha], and N of our problem.
where [PI] = diag{[[PI].sub.11] , [[PI].sub.22], ..., [[PI].sub.rr]} [for all][[PI].sub.ii] > 0, i [member of] [1, r], denotes a convergence factor matrix, namely, an adaptive rate, which can influence the estimation performance; W is a symmetric positive definite matrix and the conditions that need to be satisfied for W will be discussed in detail in the following.
Also, in [3], the authors pointed out that how to choose a best convergence factor is a subject to be studied and deserves further research.

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