Is It Worthwhile Considering Orthogonality in Generalised Polynomial Chaos Expansions Applied to Solving Stochastic Models?
From MaRDI portal
Publication:5860615
DOI10.1007/978-981-15-8498-5_12zbMath1491.60072OpenAlexW3110130600MaRDI QIDQ5860615
M. Jornet, J. Calatayud, L. Villafuerte, Juan-Carlos Cortés
Publication date: 22 November 2021
Published in: Forum for Interdisciplinary Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-981-15-8498-5_12
Related Items (1)
Cites Work
- Unnamed Item
- Uncertainty quantification in simulations of epidemics using polynomial chaos
- Generalized polynomial chaos for nonlinear random delay differential equations
- Epidemic models with random coefficients
- Random coefficient differential models of growth of anaerobic photosynthetic bacteria
- Random coefficient differential equation models for bacterial growth
- Random differential equations in science and engineering
- Error analysis of generalized polynomial chaos for nonlinear random ordinary differential equations
- Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos
- Improving adaptive generalized polynomial chaos method to solve nonlinear random differential equations by the random variable transformation technique
- Dealing with dependent uncertainty in modelling: a comparative study case through the Airy equation
- Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: a computational approach
- Polynomial chaos for multirate partial differential algebraic equations with random parameters
- Solving continuous models with dependent uncertainty: a computational approach
- Some recommendations for applying gPC (generalized polynomial chaos) to modeling: an analysis through the Airy random differential equation
- Random ordinary differential equations
- On the convergence of generalized polynomial chaos expansions
- Generalized polynomial chaos and random oscillators
- Matrix Analysis
- Computational uncertainty quantification for random time‐discrete epidemiological models using adaptive gPC
- The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
- On the convergence of adaptive gPC for non-linear random difference equations: Theoretical analysis and some practical recommendations
This page was built for publication: Is It Worthwhile Considering Orthogonality in Generalised Polynomial Chaos Expansions Applied to Solving Stochastic Models?