Browsing by Author "Kurbanmuradov, Orazgeldi"
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- ItemConvergence of Fourier-Wavelet models for Gaussian random processes(Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2007) Kurbanmuradov, Orazgeldi; Sabelfeld, KarlMean square convergence and convergence in probability of Fourier-Wavelet Models (FWM) of stationary Gaussian Random processes in the metric of Banach space of continuously differentiable functions and in Sobolev space are studied. Sufficient conditions for the convergence formulated in the frame of spectral functions are given. It is shown that the given rates of convergence of FWM in the mean square obtained in the Nikolskiui-Besov classes cannot be improved.
- ItemStochastic simulation of flows and particle transport in porous tubes(Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2008) Sabelfeld, Karl; Kurbanmuradov, Orazgeldi; Levykin, AlexanderA Monte Carlo method is developed for stochastic simulation of flows and particle transport in tubes filled with a porous medium. The hydraulic conductivity is assumed to be a random field of a given statistical structure, the flow is modelled in a tube with prescribed boundary conditions. Numerical experiments are carried out by solving the random Darcy equation for each sample of the hydraulic conductivity by a SOR iteration method, and tracking Lagrangian trajectories in the simulated flow. We present and analyze different Eulerian and Lagrangian statistical characteristics of the flow such as transverse and longitudinal velocity correlation functions, diffusion coefficients, the mean and variance of Lagrangian trajectories, and discuss a ''stagnation" effect which was found in our simulations.
- ItemStochastic spectral and Fourier-wavelet methods for vector Gaussian random fields(Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2005) Kurbanmuradov, Orazgeldi; Sabelfeld, KarlRandomized Spectral Models (RSM) and Randomized Fourier-Wavelet Models (FWM) for simulation of homogeneous Gaussian random fields based on spectral representations and plane wave decomposition of random fields are developed. Extensions of FWM to vector random processes are constructed. Convergence of the constructed Fourier-Wavelet models (in the sense of finite-dimensional distributions) under some general conditions on the spectral tensor is given. A comparative analysis of RSM and FWM is made by calculating Eulerian and Lagrangian statistical characteristics of a 3D isotropic incompressible random field through an ensemble and space averaging