Computing the probability density function of non-autonomous first-order linear homogeneous differential equations with uncertainty
DOI10.1016/j.cam.2018.01.015zbMath1434.60136OpenAlexW2791346203MaRDI QIDQ1747307
A. Navarro-Quiles, José Vicente Romero, Juan-Carlos Cortés, M. D. Roselló
Publication date: 4 May 2018
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10251/121419
Karhunen-Loève expansionfirst probability density functionrandom variable transformation techniquerandom first-order non-autonomous linear differential equation
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Characterization and structure theory of statistical distributions (62E10) Random operators and equations (aspects of stochastic analysis) (60H25) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Solution of the stochastic radiative transfer equation with Rayleigh scattering using RVT technique
- A survey of numerical methods for stochastic differential equations
- The probability density function to the random linear transport equation
- Solution of the stochastic transport equation of neutral particles with anisotropic scattering using RVT technique
- Random differential equations in science and engineering
- Determining the first probability density function of linear random initial value problems by the random variable transformation (RVT) technique: a comprehensive study
- A comprehensive probabilistic solution of random SIS-type epidemiological models using the random variable transformation technique
- On the logistic equation subject to uncertainties in the environmental carrying capacity and initial population density
- Random ordinary differential equations
- Random Differential Equations in Scientific Computing
- An Introduction to Computational Stochastic PDEs
- Modeling with Itô Stochastic Differential Equations