Improving the Approximation of the First- and Second-Order Statistics of the Response Stochastic Process to the Random Legendre Differential Equation

Author:

Calatayud J.,Cortés J.-C.ORCID,Jornet M.

Funder

Secretaría de Estado de Investigación, Desarrollo e Innovación

Universitat Politècnica de València

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics

Reference29 articles.

1. Soong, T.T.: Random Differential Equations in Science and Engineering. Academic Press, New York (1973)

2. Strand, J.L.: Random ordinary differential equations. J. Differ. Equ. 7(3), 538–553 (1970)

3. Smith, R.C.: Uncertainty quantification. Theory, implementation, and application. SIAM Comput. Sci. Eng. New York (2013) ISBN 9781611973211

4. Fishman, G.: Monte Carlo: Concepts, Algorithms, and Applications. Springer, Berlin (2013)

5. Cortés, J.-C., Romero, J.-V., Roselló, M.-D., Santonja, F.-J., Villanueva, R.-J.: Solving continuous models with dependent uncertainty: a computational approach. Abstr. Appl. Anal. 2013, 983839 (2013). https://doi.org/10.1155/2013/983839

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