Alireza Doostan

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Gianluca IaccarinoStanford UniversityVerified email at stanford.edu
Jerrad HamptonSiemens EnergyVerified email at siemens-energy.com
Brandon A. JonesThe University of Texas at AustinVerified email at utexas.edu
Kurt MauteProfessor of Aerospace Engineering, University of Colorado BoulderVerified email at colorado.edu
Roger GhanemProfessor Civil Engineering, University of Southern CaliforniaVerified email at usc.edu
Mohammad HadigolAssociate Scientist at Certara Strategic ConsultingVerified email at certara.com
Paul G. ConstantineAssistant Professor of Computer Science, University of Colorado BoulderVerified email at colorado.edu
Iman HajirasoulihaAssociate Professor (Senior Lecturer), The University of SheffieldVerified email at sheffield.ac.uk
John A. EvansAssistant Professor, Jack Rominger Faculty Fellow, University of Colorado BoulderVerified email at colorado.edu
Ji PengData Science at EarninVerified email at earnin.com
Gianluca GeraciSandia National Laboratories, Center for Computing Research -- Senior Member of Technical StaffVerified email at sandia.gov
Jan NordströmProfessor in Scientific Computing, Linköping University and University of JohannesburgVerified email at liu.se
Per PetterssonSenior researcher, NORCE Norwegian Research CentreVerified email at norceresearch.no
Jeroen A.S. WitteveenScientific Staff Member, Center for Mathematics and Computer Science (CWI), AmsterdamVerified email at cwi.nl
Jay McMahonUniversity of ColoradoVerified email at colorado.edu
Daniel J. ScheeresUniversity of ColoradoVerified email at colorado.edu
Akil NarayanUniversity of UtahVerified email at sci.utah.edu
Gregory BeylkinProfessor of Applied Mathematics, University of Colorado at BoulderVerified email at colorado.edu
Rene PecnikDelft University of TechnologyVerified email at tudelft.nl
Hermann G MatthiesProfessor of Computer Science, Inst. of Scientific Computing, TU BraunschweigVerified email at tu-bs.de

Alireza Doostan

University of Colorado, Boulder

Verified email at colorado.edu - Homepage

Uncertainty quantification computational mechanics


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A non-adapted sparse approximation of PDEs with stochastic inputs A Doostan, H Owhadi Journal of Computational Physics 230 (8), 3015-3034, 2011	440	2011
Stochastic model reduction for chaos representations A Doostan, RG Ghanem, J Red-Horse Computer Methods in Applied Mechanics and Engineering 196 (37-40), 3951-3966, 2007	230	2007
On the construction and analysis of stochastic models: characterization and propagation of the errors associated with limited data RG Ghanem, A Doostan Journal of Computational Physics 217 (1), 63-81, 2006	213	2006
A weighted ℓ1-minimization approach for sparse polynomial chaos expansions J Peng, J Hampton, A Doostan Journal of Computational Physics 267, 92-111, 2014	192	2014
Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies J Hampton, A Doostan Journal of Computational Physics 280, 363-386, 2015	182	2015
Nonlinear propagation of orbit uncertainty using non-intrusive polynomial chaos BA Jones, A Doostan, GH Born Journal of Guidance, Control, and Dynamics 36 (2), 430-444, 2013	163	2013
A least-squares approximation of partial differential equations with high-dimensional random inputs A Doostan, G Iaccarino Journal of Computational Physics 228 (12), 4332-4345, 2009	159	2009
Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression J Hampton, A Doostan Computer Methods in Applied Mechanics and Engineering 290, 73-97, 2015	118	2015
Non-intrusive low-rank separated approximation of high-dimensional stochastic models A Doostan, AA Validi, G Iaccarino Computer Methods in Applied Mechanics and Engineering 263, 42-55, 2013	105	2013
A probabilistic construction of model validation RG Ghanem, A Doostan, J Red-Horse Computer Methods in Applied Mechanics and Engineering 197 (29-32), 2585-2595, 2008	97	2008
Padé–Legendre approximants for uncertainty analysis with discontinuous response surfaces T Chantrasmi, A Doostan, G Iaccarino Journal of Computational Physics 228 (19), 7159-7180, 2009	96	2009
Least squares polynomial chaos expansion: A review of sampling strategies M Hadigol, A Doostan Computer Methods in Applied Mechanics and Engineering 332, 382-407, 2018	95	2018
A simple and efficient preconditioning scheme for heaviside enriched XFEM C Lang, D Makhija, A Doostan, K Maute Computational Mechanics 54 (5), 1357-1374, 2014	90	2014
Optimum seismic design of concentrically braced steel frames: concepts and design procedures H Moghaddam, I Hajirasouliha, A Doostan Journal of Constructional Steel Research 61 (2), 151-166, 2005	90	2005
On polynomial chaos expansion via gradient-enhanced ℓ1-minimization J Peng, J Hampton, A Doostan Journal of Computational Physics 310, 440-458, 2016	81	2016
Satellite collision probability estimation using polynomial chaos expansions BA Jones, A Doostan Advances in Space Research 52 (11), 1860-1875, 2013	77	2013
Efficient solution of stochastic systems: application to the embankment dam problem R Ghanem, G Saad, A Doostan Structural safety 29 (3), 238-251, 2007	68	2007
Sparse polynomial chaos expansions via compressed sensing and D-optimal design P Diaz, A Doostan, J Hampton Computer Methods in Applied Mechanics and Engineering 336, 640-666, 2018	62	2018
Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling L Mehrez, A Doostan, D Moens, D Vandepitte Mechanical Systems and Signal Processing 27, 484-498, 2012	59	2012
Postmaneuver collision probability estimation using sparse polynomial chaos expansions BA Jones, N Parrish, A Doostan Journal of Guidance, Control, and Dynamics 38 (8), 1425-1437, 2015	50	2015

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