August 2010
An adaptive finite volume method using thin plate splines for the numerical simulation of the inviscid Burgers’ equation
Thin plate splines are utilized in the construction of a non-oscillatory finite volume method for the inviscid Burgers’ equation which is a prototype nonlinear conservation law. To capture the sharp features that occur during numerical simulation, the method is implemented on an adaptive triangulation. An a posteriori error indicator is used to detect regions where the solution...
August 2010
Population prediction using artificial neural network
Recently, the use of mobile applications in knowledge management systems has been a majordiscussion in some literatures. In the past, the author’s conceptualized and designs a knowledge management system for “Ifa”. In this paper, a mobile application is designed which applies mobile knowledge management (mKM) to the “ifa” oracle consultation process...
August 2010
An improved chaotic encryption scheme
In this paper, an attempt is made to develop a functional encryption scheme by exploiting the strength and redefining the operational limits of two related existing schemes. Various parameters used for comparative assessment show that the proposed scheme is better than the existing ones in terms of functionality, strength and suitability for applications in securing messages on networks and work...
August 2010
An empirical mathematical model for smoke attributed mortality
This paper presents a simple empirical mathematical model which predicts the increase in mortality caused by cigarette smoking. The model considers the introduction of new brands of cigarette in the market and (or) the introduction of new smokers in a given population. The model is used to predict the smoke attributed mortality (SAM) for a period of 20 years, say, using empirical data of Nigeria population....
August 2010
Appraising of Monte Carlo forecast in nonlinear econometric models
In the study, Monte Carlo (stochastic) and deterministic forecasts have been carried out. Though, as would be expected, there is reasonable gain in efficiency in the Monte Carlo forecast over the deterministic procedure. The extent of this gain depends on the relative dispersion criterion used. Key words: Monte Carlo forecast, deterministic forecast, efficiency
August 2010
A stochastic iteration method for a class of variational inequalities in Hilbert space
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