Results 11 to 20 of about 6,349,849 (305)
Nonlinearly perturbed stochastic processes
, 2008 This paper is a survey of results presented in the recent book [25]1) .This book is devoted to studies of quasi-stationary phenomena innonlinearly perturbed stochastic systems.
Silvestrov, Dmitrii,
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Spectral Properties of Stochastic Processes Possessing Finite Propagation Velocity
Entropy, 2022 This article investigates the spectral structure of the evolution operators associated with the statistical description of stochastic processes possessing finite propagation velocity.
Massimiliano Giona +3 more
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On a Wick-type stochastic parabolic equations with random potentials
Partial Differential Equations in Applied Mathematics, 2023 Stochastic parabolic equations with random potentials, where the Wick product is used to give sense to the product of generalized stochastic processes, are considered.
Snežana Gordić +2 more
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The Stochastic Processes Generation in OpenModelica [PDF]
, 2016 Background: Component-based modeling language Modelica (OpenModelica is open source implementation) is used for the numerical simulation of complex processes of different nature represented by ODE system. However, in OpenModelica standard library there is no routines for pseudo-random numbers generation, which makes it impossible to use for stochastic ...
Gevorkyan M. +6 more
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Conditional generative models for learning stochastic processes
Quantum Machine Intelligence, 2023 A framework to learn a multi-modal distribution is proposed, denoted as the Conditional Quantum Generative Adversarial Network (C-qGAN). The neural network structure is strictly within a quantum circuit and, as a consequence, is shown to represent a more efficient state preparation procedure than current methods.
Salvatore Certo +3 more
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A New Stochastic Process with Long-Range Dependence
Journal of Statistical Theory and Applications (JSTA), 2020 In this paper, we introduce a fractional Generalized Hyperbolic process, a new stochastic process with long-range dependence obtained by subordinating fractional Brownian motion to a fractional Generalized Inverse Gaussian process.
Sung Ik Kim, Young Shin Kim
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Applied Sciences, 2022 Integrating the general expression of the generalized harmonic wavelet (GHW)-based spectral representation method (SRM) and the idea of stochastic harmonic function (SHF), a novel stochastic generalized harmonic wavelet (SGHW) method for fully ...
Ding Wang, Feixiang Yu, Shan Xu
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A posteriori error estimation for stochastic static problems [PDF]
, 2014 To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
MAC, Hung, CLENET, Stephane
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Mean Square Integral Inequalities for Generalized Convex Stochastic Processes via Beta Function
Journal of Function Spaces, 2021 The integral inequalities have become a very popular area of research in recent years. The present paper deals with some important generalizations of convex stochastic processes.
Putian Yang, Shiqing Zhang
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First-Principle Validation of Fourier’s Law: One-Dimensional Classical Inertial Heisenberg Model
Entropy, 2023 The thermal conductance of a one-dimensional classical inertial Heisenberg model of linear size L is computed, considering the first and last particles in thermal contact with heat baths at higher and lower temperatures, Th and Tl (Th>Tl), respectively ...
Henrique Santos Lima +2 more
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