Keywords: Google problem Power Method Stochastic matrices Global rate of convergence Gradient methods Strong convexity a b s t r a c t In this paper, we develop new methods for approximating dominant eigenvector of column-stochastic matrices. We analyze the Google matrix, and present an averaging scheme with linear rate of convergence in terms of 1-norm distance. For extending this convergence ...

In this paper we will examine self-accelerating in terms of convergence speed and the corresponding index of efficiency in the sense of Ostrowski–Traub of certain standard and most commonly used in practice multipoint iterative methods using several initial approximations for numerical solution of nonlinear equations due to optimal in the sense of the Kung–Traub algorithm of order 4, 8 and 16. ...

The proper assessment of interaxial distance and convergence control are important factors in stereoscopic imaging technology to make an efficient 3D image. To control interaxial distance and convergence for efficient 3D shooting, horizontal 3D camera rig is designed using some hardware components like ‘LM Guide’, ‘Goniometer’ and ‘Rotation Stage’. The horizontal 3D camera rig system can be pro...

In this article we study approaches that can be used to minimise the convergence time, we also make a focus on microloops phenomenon, analysis and means to mitigate them. The convergence time reflects the time required by a network to react to a failure of a link or a router failure itself. When all nodes (routers) have updated their respective routing and forwarding databases, we can say the n...

A procedure to approximate non-causal adaptive IIR filtering is described. Such structures could be useful, for instance, in the equalization of non-minimum phase communication channels. The procedure is based on backward calculations within blocks of samples and we show that for adaptive filtering the overlap-save method is more suitable than the overlap-add method. Moreover, a temporary freez...

Currently a new version of the distance education platform WeLearn [3] to be combined with an agent system ([1], also developed locally) for providing advanced services [2] is under development. In a previous stage of the project software was created to automatically derive keywords from documents, either from the different versions of metadata already contained (various Microsoft file formats,...

As our ability to store information increases, the mechanisms we employ to access that information become ever more important. In this paper, we present Archosum, a prototype of an organizational system that attempts to encapsulate the benefits of both hierarchical and keyword systems. By introducing abstract entities, Archosum provides a simple interface with which users can build and maintain...