1964
DOI: 10.1090/psapm/016/0193684
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The application of truncated hierarchy techniques in the solution of a stochastic linear differential equation

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Cited by 24 publications
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“…It is known [1,2,3,6,7], that for the moments of the solution to (1) we have an infinite chain of equations. To close this chain, we consider the so called closure problem.…”
Section: Consider the Following Linear Ordinary Equation In R D Dx (1mentioning
confidence: 99%
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“…It is known [1,2,3,6,7], that for the moments of the solution to (1) we have an infinite chain of equations. To close this chain, we consider the so called closure problem.…”
Section: Consider the Following Linear Ordinary Equation In R D Dx (1mentioning
confidence: 99%
“…To close this chain, we consider the so called closure problem. Several methods of closure were proposed (see, for example, [6,8]) but only few of them are mathematically justified.…”
Section: Consider the Following Linear Ordinary Equation In R D Dx (1mentioning
confidence: 99%
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“…The differential equation which it must satisfy is EI<^ + P^ + KX)U = ° (2"1} where x is the axial coordinate, E is Young's modulus, and I is beam moment of inertia. Let the mean stiffness of the elastic foundation be K, that is </(*)> = K (2.2) where the angular bracket is the average over the length of the beam, namely [3], [4], in random initial value problems [5],2 and more recently in an eigenvalue problem [6]. The method consists, in general, of multiplying the stochastic differential equation an arbitrary number of times by the stochastic function or by the dependent variable evaluated at different values of its argument.…”
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confidence: 99%
“…sRichardson [5] discusses various related truncated hierarchy methods and cites references to other applications of these techniques. [Vol.…”
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confidence: 99%