Multilevel Sparse Grid Methods for Elliptic Partial Differential Equations with Random Coefficients

Stochastic sampling methods are arguably the most direct and least intrusive means of incorporating parametric uncertainty into numerical simulations of partial differential equations with random inputs. However, to achieve an overall error that is within a desired tolerance, a large number of sampl...

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Podrobná bibliografie

Vydáno v:	arXiv.org
Hlavní autor:	Hans-Werner van Wyk
Médium:	Paper
Jazyk:	angličtina
Vydáno:	Ithaca Cornell University Library, arXiv.org 08.04.2014
Témata:	Accuracy Algorithms Collocation methods Computational efficiency Computer simulation Discretization Elliptic functions Errors Mathematical models Multilevel Nesting Numerical methods Partial differential equations Sampling methods
ISSN:	2331-8422
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