Optimization of the mean-square approximation procedures for iterated Stratonovich stochastic integrals of multiplicities 1 to 3 with respect to components of the multi-dimensional Wiener process based on Multiple Fourier–Legendre series [PDF]
MATEC Web of Conferences, 2022 The article is devoted to approximation of iterated Ito and Stratonovich stochastic integrals of multiplicities 1 to 3 by the method of multiple Fourier–Legendre series.
Kuznetsov Dmitriy, Kuznetsov Mikhail
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Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
Mathematics, 2023 In this paper, we consider stochastic mixed vector variational inequality problems. Firstly, we present an equivalent form for the stochastic mixed vector variational inequality problems.
Meiju Luo, Menghan Du, Yue Zhang
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Journal of Inequalities and Applications, 2022 We stabilize pseudostochastic ( G 1 , G 2 ) $(\mathcal{G}_{1},\mathcal{G}_{2})$ -random operator inequality using a class of stochastic matrix control functions in matrix Menger Banach algebras.
Safoura Rezaei Aderyani +3 more
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Random Perturbation of Invariant Manifolds for Non-Autonomous Dynamical Systems
Mathematics, 2022 Random invariant manifolds are geometric objects useful for understanding dynamics near the random fixed point under stochastic influences. Under the framework of a dynamical system, we compared perturbed random non-autonomous partial differential ...
Tao Jiang, Zhongkai Guo, Xingjie Yan
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Approximation methods for hybrid diffusion systems with state-dependent switching processes : numerical algorithms and existence and uniqueness of solutions [PDF]
, 2010 By focusing on hybrid diffusions in which continuous dynamics and discrete events coexist, this work is concerned with approximation of solutions for hybrid stochastic differential equations with a state-dependent switching process.
Yuan, Chenggui +3 more
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Stochastic Lie bracket (derivation, derivation) in MB-algebras
Journal of Inequalities and Applications, 2020 By a stochastic controller, we make stable the pseudo stochastic Lie bracket (derivation, derivation) in complex MB-algebras. Next, we get an approximation by a stochastic Lie bracket (derivation, derivation) and calculate the maximum error of the ...
Masoumeh Madadi +3 more
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A Stochastic Approximation Method [PDF]
The Annals of Mathematical Statistics, 1951 Let M(x) denote the expected value at level x of the response to a certain experiment. M(x) is assumed to be a monotone function of x but is unknown to the experimenter, and it is desired to find the solution x = θ of the equation M(x) = α, where a is a given constant.
Robbins, Herbert, Monro, Sutton
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L2-convergence of Yosida approximation for semi-linear backward stochastic differential equation with jumps in infinite dimension [PDF]
Arab Journal of Mathematical SciencesPurpose – The main motivation of this paper is to present the Yosida approximation of a semi-linear backward stochastic differential equation in infinite dimension. Under suitable assumption and condition, an L2-convergence rate is established.
Hani Abidi +3 more
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Randomness, Stochasticity, and Approximations [PDF]
Theory of Computing Systems, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Best approximation of κ-random operator inequalities in matrix MB-algebras
Journal of Inequalities and Applications, 2021 We introduce a class of stochastic matrix control functions and apply them to stabilize pseudo stochastic κ-random operator inequalities in matrix MB-algebras.
Masoumeh Madadi +3 more
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