Dealing with dependent uncertainty in modelling: a comparative study case through the Airy equation

DOI10.1155/2013/279642zbMath1291.65018OpenAlexW2169704132WikidataQ58915788 ScholiaQ58915788MaRDI QIDQ2015305

José Vicente Romero, Juan-Carlos Cortés, M. D. Roselló, Rafael-Jacinto Villanueva

Publication date: 23 June 2014

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/279642

Mathematics Subject Classification ID

Random operators and equations (aspects of stochastic analysis) (60H25) Ordinary differential equations and systems with randomness (34F05) Numerical solutions to stochastic differential and integral equations (65C30)

Related Items (2)

Influence of physical and geometrical uncertainties in the parametric instability load of an axially excited cylindrical shell ⋮ Is It Worthwhile Considering Orthogonality in Generalised Polynomial Chaos Expansions Applied to Solving Stochastic Models?

Uses Software

• Unnamed Item

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Random Hermite differential equations: mean square power series solutions and statistical properties
• Random Airy type differential equations: mean square exact and numerical solutions
• An introduction to copulas.
• Random differential operational calculus: theory and applications
• Random differential equations in science and engineering
• Think globally, act locally: Solving highly-oscillatory ordinary differential equations
• Handbook of Monte Carlo Methods
• Numerical solution of random differential initial value problems: Multistep methods
• Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures
• Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
• The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations

This page was built for publication: Dealing with dependent uncertainty in modelling: a comparative study case through the Airy equation