Numerical simulations of the flow in an extrusion damper are performed using a finite volume method. The damper is assumed to consist of a shaft, with or without a spherical bulge, oscillating axially in a containing ...

We solve numerically the Poiseuille flow of a Herschel-Bulkley fluid in a duct of rectangular cross section under the assumption that slip occurs along the wall following a slip law involving a non-zero slip yield stress. ...

We construct a symplectic realization of the KM-system and obtain the higher order Poisson tensors and commuting flows via the use of a recursion operator. This is achieved by doubling the number of variables through ...

We analyze fast procedures for conducting Monte Carlo experiments involving bootstrap estimators, providing formal results establishing the properties of these methods under general conditions. © 2012 Cambridge University Press.

The main characteristics of wave energy potential over Eastern Mediterranean Levantine Basin, an area of increased interest for energy resources exploration/exploitation, is presented in this work. In particular, an ...

We investigate the connection between Besov spaces and certain approximation subspaces of the Hardy spaces Hp(ℝd), 0 < p ≤ 1. In particular, we establish the wavelet decompositions for the Hp(ℝd) spaces and we characterize ...

We consider the estimation of a density function on the basis of a random sample from a weighted distribution. We propose linear and nonlinear wavelet density estimators, and provide their asymptotic formulae for mean ...

We propose a simple computational method in the context of generalized method of moments for improving the efficiency of regression coefficient estimates. The gains in efficiency arise by incorporating additional moment ...

This article shows how a non-decimated wavelet packet transform (NWPT) can be used to model a response time series, Yt in terms of an explanatory time series, Xt. The proposed computational technique transform the explanatory ...

We discuss a Bayesian formalism which gives rise to a type of wavelet threshold estimation in nonparametric regression. A prior distribution is imposed on the wavelet coefficients of the unknown response function, designed ...