The existing tau-selection strategy, which was designed for explicit tau-leaping, is here modified to apply to implicit tau-leaping, allowing for longer steps when the system is stiff. Further, an adaptive strategy is proposed that identifies stiffness and automatically chooses between the explicit and the (new) implicit tau-selection methods to achieve better efficiency. Numerical testing demo...

The existing tau-selection strategy, which was designed for explicit tau leaping, is here modified to apply to implicit tau leaping, allowing for longer steps when the system is stiff. Further, an adaptive strategy that identifies stiffness and automatically chooses between the explicit and the (new) implicit tau-selection methods to achieve better efficiency is proposed. Numerical testing demo...

Learning Classifier System which replaces the genetic algorithm with the evolving cooperative population of discoverers is a focus of current research. This paper presents a modified version of XCS classifier system with self-adaptive discovery module. The new model was confirmed experimentally in a multiplexer environment. The results prove that XCS with the self-adaptive method for determinin...

Indexing terms : adaptive algorithm, system identification Abstract : In the presence of input interference, the Wiener solution for impulse response estimation is biased. In this Letter, it is proved that bias removal can be achieved by proper scaling the optimal filter coefficients and a modified least mean squares (LMS) algorithm is then developed for accurate system identification in noise....

in this work, a new, simple and fast method for the solid phase extraction-spectrophotometric determination of phosphate using cetyltrimethyl ammonium bromide immobilized on alumina-coated magnetite nanoparticles (ctab@acmnps) has been developed. the determination of phosphate is based on the molybdenum blue method which was monitored at λmax of 810 nm. mnps and acmnps characterized by sem, vsm...

this paper presents a comparison between variational iteration method (vim) and modfied variational iteration method (mvim) for approximate solution a system of volterra integral equation of the first kind. we convert a system of volterra integral equations to a system of volterra integro-di®erential equations that use vim and mvim to approximate solution of this system and hence obtain an appr...

This paper proposes an improved performance cross-updating active noise system with online secondarypath modeling. The existing cross-updating active noise control system comprises three adaptive filters; a noise-control filter, a secondary-path modeling filter, and an adaptive-noisecancelation filter; where FxLMS algorithm is used in adaptation of the noise-control filter. In the proposed meth...

An adaptive subdivision method is proposed in this work for automatic post-processing of a 3D graphic model of coarse resolution. The method is an improved version of the Modified Butterfly Scheme (MBS) developed by Zorin et al. The main contribution of this work is to exploit the local smoothness information of a surface for adaptive refinement of a coarse 3D graphic model. With this approach,...