With overlap L > 0, the classical Schwarz method has asymptotically, as L tends to 0, the

convergence factorThe 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).

If the

convergence factor 5 is chosen to satisfy in (2.4) then we can conclude that

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.

We will determine the

convergence factor [mu] later.