this research aimed to examine the effect of sequential stimuli technique on acquisition, retention and transfer of ocular motor sequence. first sequential stimuli, time record, response error software was designed. 60 right-handed novices (15-18 years) were divided into five groups (blocked – explicit, blocked – implicit, random – explicit, random-implicit and control). all groups performed a ...

A sequential implicit numerical scheme is proposed for a system of partial differential equations defining the transport of heat and mass in the channel flow of a variable-viscosity fluid. By adopting the backward difference scheme for time derivative and the central difference scheme for the spatial derivatives, an implicit finite difference scheme is formulated. The variable-coefficient diffu...

In the extension of Newton’s method to generalized equations, applying to variational inequalities as a special case, convergence analysis relates to a corresponding implicit function theorem, describes how solutions may depend on a parameter. In this paper the implicit function paradigm is carried further and placed in the framework of a mapping from the parameter to sequence of iterates as el...

In an extension of Newton’s method to generalized equations, we carry further the implicit function theorem paradigm and place it in the framework of a mapping acting from the parameter and the starting point to the set of all associated sequences of Newton’s iterates as elements of a sequence space. An inverse function version of this result shows that the strong regularity of the mapping asso...

We describe a sequential fully implicit (SFI) multi-scale finite volume (MSFV) algorithm for nonlinear multi-phase flow and transport in heterogeneous porous media. The method extends the recently developed multiscale approach, which is based on an IMPES (IMplicit Pressure, Explicit Saturation) scheme [P. Jenny, S.H. Lee, H.A. Tchelepi, Adaptive multiscale finite volume method for multi-phase f...

Implicit learning is the process of acquiring knowledge about the structure of a complex stimulus environment largely independent of conscious awareness of either the process or the products of acquisition. In the present study, a new method of measuring implicit learning using immediate memory span capacity was developed. This method avoids many of the conceptual and methodological pitfalls fo...

6 The implicit particle filter is a sequential Monte Carlo method for data assimilation that 7 guides the particles to the high-probability regions via a sequence of steps that includes 8 minimizations. We present a new and more general derivation of this approach and extend 9 the method to particle smoothing as well as to data assimilation for perfect models. We 10 show that the minimizations ...