Uncertainty propagation using Wiener-linear B-spline wavelet expansion

DOI10.1016/j.camwa.2019.11.021OpenAlexW2996305896MaRDI QIDQ2308476

Navjot Kaur, Kavita Goyal

Publication date: 3 April 2020

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2019.11.021

zbMATH Keywords

Galerkin approximationuncertainty quantificationstochastic ordinary differential equationslinear B-spline chaospseudo-spectral approach

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Numerical methods for wavelets (65T60)

Related Items (3)

An adaptive stochastic investigation of partial differential equations using wavelet collocation generalized polynomial chaos method ⋮ Uncertainty quantification of stochastic epidemic SIR models using B-spline polynomial chaos ⋮ An adaptive wavelet optimized finite difference B-spline polynomial chaos method for random partial differential equations

Uses Software

• Algorithm 929

Cites Work

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• Algorithm 929
• On Compactly Supported Spline Wavelets and a Duality Principle
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• The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
• Dynamical Properties of Truncated Wiener-Hermite Expansions
• Direct-Interaction Approximation for a System of Several Interacting Simple Shear Waves

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