In this paper we investigate the relationship between the statistical (or generally I-convergence) of a series and the usual convergence of its subseries. We also give a counterexample which shows that Theorem 1 of the paper by B.C. Tripathy “On statistically convergent series”, Punjab.Univ. J.Math. 32 (1999), 1–8, is not correct.

cerebellar model articulation controller neural network is a computational model of cerebellum which acts as a lookup table. the advantages of cmac are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and easy processing. in the training phase, the disadvantage of some cmac models is unstable phenomenon...

We compare the linear rate of convergence estimates for two inexact proximal point methods. The first one is the classical inexact scheme introduced by Rockafellar, for which we obtain a slightly better estimate than the one given in [16]. The second one is the hybrid inexact proximal point approach introduced in [25, 22]. The advantage of the hybrid methods is that they use more constructive a...

after establishment of the world trade organization (wto) in 1995, not only all countries around the world had to receive progressively the wto accession but also those that had higher economic potentials benefited further advantages from their memberships. one goal which has been followed by the wto has relied on economic convergence. it is now a time to ask whether convergence in monetary po...