Results 11 to 20 of about 1,546 (231)
A Multilevel Stochastic Collocation Method for Schrödinger Equations with a Random Potential
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Tobias Jahnke, Benny Stein
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Fully Legendre spectral collocation technique for stochastic heat equations
For the stochastic heat equation (SHE), a very accurate spectral method is considered. To solve the SHE, we suggest using a shifted Legendre Gauss–Lobatto collocation approach in combination with a shifted Legendre Gauss–Radau collocation technique.
Abdelkawy Mohamed A. +3 more
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Stochastic collocation method for computing eigenspaces of parameter-dependent operators
AbstractWe consider computing eigenspaces of an elliptic self-adjoint operator depending on a countable number of parameters in an affine fashion. The eigenspaces of interest are assumed to be isolated in the sense that the corresponding eigenvalues are separated from the rest of the spectrum for all values of the parameters.
Luka Grubisic +2 more
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We propose an accurate data-driven numerical scheme to solve stochastic differential equations (SDEs), by taking large time steps. The SDE discretization is built up by means of the polynomial chaos expansion method, on the basis of accurately determined
Shuaiqiang Liu +2 more
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Assessing the Structural Performance of Biodegradable Capsules
Biodegradable materials pose challenges over all aspects of computational mechanics. In this study, the focus is on the resulting domain uncertainty. Model structures or devices are shells of revolution subject to random variation of the outer surface ...
Harri Hakula
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Numerical Solution of Nonlinear Backward Stochastic Volterra Integral Equations
This work uses the collocation approximation method to solve a specific type of backward stochastic Volterra integral equations (BSVIEs). Using Newton’s method, BSVIEs can be solved using block pulse functions and the corresponding stochastic operational
Mahvish Samar +2 more
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In this article, we present a numerical method to approximate for solving nonlinear Stochastic Itô–Volterra integral equations. This method is based on the modification of hat functions (MHFs) that introduce an operational matrix of integration.
Fatemeh Sharafi, Behrooz Basirat
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A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method [PDF]
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Diane Guignard, Fabio Nobile
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On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion [PDF]
Convergence of an adaptive collocation method for the stationary parametric diffusion equation with finite-dimensional affine coefficient is shown.
Sprungk, Björn +3 more
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A Study of The Stochastic Burgers’ Equation Using The Dynamical Orthogonal Method
In the current work, the stochastic Burgers’ equation is studied using the Dynamically Orthogonal (DO) method. The DO presents a low-dimensional representation for the stochastic fields. Unlike many other methods, it has a time-dependent property on both
Mohamed El-Beltagy +2 more
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