Analytic-numerical solution of random parabolic models: a mean square fourier transform approach
This paper deals with the construction of mean square analytic-numerical solution of parabolic partial differential problems where both initial condition and coefficients are stochastic processes. By using a random Fourier transform, an infinite integral form of the solution stochastic process is f...
Main Authors: | María-Consuelo Casabán, Juan-Carlos Cortés, Lucas Jódar |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius Gediminas Technical University
2018-02-01
|
Series: | Mathematical Modelling and Analysis |
Subjects: | |
Online Access: | https://journals.vgtu.lt/index.php/MMA/article/view/234 |
Similar Items
-
Numerical Integral Transform Methods for Random Hyperbolic Models with a Finite Degree of Randomness
by: M. Consuelo Casabán, et al.
Published: (2019-09-01) -
Reliable Efficient Difference Methods for Random Heterogeneous Diffusion Reaction Models with a Finite Degree of Randomness
by: María Consuelo Casabán, et al.
Published: (2021-01-01) -
Non-Gaussian Quadrature Integral Transform Solution of Parabolic Models with a Finite Degree of Randomness
by: María-Consuelo Casabán, et al.
Published: (2020-07-01) -
Mean Square Analytic Solutions of Random Linear Models
by: Calbo Sanjuán, Gema
Published: (2010) -
Random difference scheme for diffusion advection model
by: M. A. Sohaly
Published: (2019-02-01)