نتایج جستجو برای: non homogeneous linear recursions

تعداد نتایج: 1756898  

Journal: :Transactions of the American Mathematical Society 1961

Journal: :International Mathematics Research Notices 2006

Journal: :The Journal of the Australian Mathematical Society. Series B. Applied Mathematics 1980

2017
RAGHU PASUPATHY PETER GLYNN FATEMEH S. HASHEMI

Abstract. We consider the context of “simulation-based recursions,” that is, recursions that involve quantities needing to be estimated using a stochastic simulation. Examples include stochastic adaptations of fixed-point and gradient descent recursions obtained by replacing function and derivative values appearing within the recursion by their Monte Carlo counterparts. The primary motivating s...

Journal: :Journal of Computational and Applied Mathematics 2006

A Valiyev A.H Sofiyev, P Ozyigit

In this paper, the buckling of non-homogeneous isotropic truncated conical shells under uniform lateral pressure and resting on a Winkler foundation is investigated. The basic relations and governing equations have been obtained for non-homogeneous truncated conical shells. The critical uniform lateral pressures of non-homogeneous isotropic truncated conical shells with or without a Winkler fou...

The present study aims to investigate the analysis of stress, strain, displacement, and electrical potential of a thick hollow cylinder made of FGPM under mechanical and thermal loads. Distribution of mechanical property of material is considered along the shell stick through the power distribution function. Thermal loads have been taken to signify the difference of temperature between outer an...

2013
Carsten Fritsche Saikat Saha Fredrik Gustafsson

The Bayesian Cramér Rao Bound (BCRB) is derived for nonlinear state space models with dependent process and measurement noise processes. It generalizes the previously BCRB for the case of dependent noise. Two different dependence structures appearing in literature are considered, leading to two different recursions for BCRB. The special cases of Gaussian noise, and linear models are presented s...

1996
Zoubin Ghahramani

We introduce a statistical model for times series data with nonlinear dynamics which iteratively segments the data into regimes with approximately linear dynamics and learns the parameters of each of those regimes. This model combines and generalizes two of the most widely used stochastic time series models|the hidden Markov model and the linear dynamical system|and is related to models that ar...

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