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These structures are closely related with order vector spaces endowed with abstract convergences satisfying suitable axioms, but in which in general convergence of subsequences of convergent sequences is not required, like filter convergence (see also [6 12]).
Hence, any DCA-based algorithm enjoys (at least) general convergence properties of the generic DCA scheme that are already available.
A general convergence of mortality rates occurred, although the groups generally maintained their relative positions.
This contrasts with the present work, where the proposed PSM is framed correctly on the generalized PSM [16], and therefore, the proposed PSM inherits the general convergence properties.
One very clear outcome from the symposium was that there is a general convergence across the species, in terms of questions being asked, technologies, data generation, and analytical tools.
In this subsection, we prove general convergence theorems.
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A great advantage of the N R algorithm is that it is proven to converge quickly in general (quadratic convergence).
In general, the convergence is achieved when the number of iterations goes to infinity.
In general, strong convergence may be obtained when some kind of compactness is assumed.
In general, the convergence rate of inner iteration has great effect on total steps of the outer iteration.
In general, the convergence of the sequence of approximate solutions given by the monotone iterative technique is at most linear.
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