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Mean Square Heun’s Method Convergent for Solving Random Differential Initial Value Problems of First Order 被引量:2

Mean Square Heun’s Method Convergent for Solving Random Differential Initial Value Problems of First Order
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摘要 This paper deals with the construction of Heun’s method of random initial value problems. Sufficient conditions for their mean square convergence are established. Main statistical properties of the approximations processes are computed in several illustrative examples. This paper deals with the construction of Heun’s method of random initial value problems. Sufficient conditions for their mean square convergence are established. Main statistical properties of the approximations processes are computed in several illustrative examples.
作者 M. A. Sohaly
出处 《American Journal of Computational Mathematics》 2014年第5期474-481,共8页 美国计算数学期刊(英文)
关键词 Stochastic Partial DIFFERENTIAL Equations Mean SQUARE SENSE Second Order RANDOM Variable Stochastic Partial Differential Equations Mean Square Sense Second Order Random Variable
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