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Numerical Integral Transform Methods for Random Hyperbolic Models with a Finite Degree of Randomness

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Numerical Integral Transform Methods for Random Hyperbolic Models with a Finite Degree of Randomness

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Casabán, M.; Company Rossi, R.; Jódar Sánchez, LA. (2019). Numerical Integral Transform Methods for Random Hyperbolic Models with a Finite Degree of Randomness. Mathematics. 7(9):1-21. https://doi.org/10.3390/math7090853

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/139934

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Title: Numerical Integral Transform Methods for Random Hyperbolic Models with a Finite Degree of Randomness
Author: Casabán, M.-C. Company Rossi, Rafael Jódar Sánchez, Lucas Antonio
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] This paper deals with the construction of numerical solutions of random hyperbolic models with a finite degree of randomness that make manageable the computation of its expectation and variance. The approach is based ...[+]
Subjects: Random hyperbolic problem , Mean square random calculus , Numerical solution , Random integral transform , Random Gauss quadrature rules
Copyrigths: Reconocimiento (by)
Source:
Mathematics. (eissn: 2227-7390 )
DOI: 10.3390/math7090853
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/math7090853
Thanks:
This work was partially supported by the Ministerio de Ciencia, Innovacion y Universidades Spanish grant MTM2017-89664-P.
Type: Artículo

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