Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach-Reference-Cited by-同舟云学术

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Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach

Published:2016-06 Issue: Volume:89 Page:11-26
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Barth Andrea,Bürger Raimund,Kröker Ilja,Rohde Christian

Funder

German Research Foundation

Fondecyt

Fondef

Conicyt

MINEDUC

Centro CRHIAM Proyecto Conicyt Fondap

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference51 articles.

1. A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems;Abgrall;J Comput Phys,2013

2. Dynamic modeling of sludge compaction and consolidation processes in wastewater secondary settling tanks;Abusam;Water Environ Res,2009

3. Wavelets and other bases for fast numerical linear algebra;Alpert,1992

4. A class of bases in L2 for the sparse representation of integral operators;Alpert;SIAM J Math Anal,1993

5. Extension of the Richardson–Zaki equation to suspensions of multisized irregular particles;Bargieł;Int J Mineral Process,2013

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