Omar Ghattas

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	Toate	Din 2020
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Georg StadlerCourant Institute, New York UniversityAdresă de e-mail confirmată pe cims.nyu.edu
Lucas C. WilcoxProfessor of Applied Mathematics, Naval Postgraduate SchoolAdresă de e-mail confirmată pe nps.edu
George BirosProfessor, Oden Institute for Computational Engineering and Sciences, The University of Texas atAdresă de e-mail confirmată pe acm.org
Carsten BursteddeProfessor for Scientific Computing, Universität Bonn, GermanyAdresă de e-mail confirmată pe ins.uni-bonn.de
Noemi PetraAssociate Professor, University of California, MercedAdresă de e-mail confirmată pe ucmerced.edu
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT AustinAdresă de e-mail confirmată pe oden.utexas.edu
Volkan AkcelikShearwater GeoservicesAdresă de e-mail confirmată pe shearwatergeo.com
Jacobo BielakHamerschlag University Professor Emeritus, Department of Civil & Env. Eng., Carnegie MellonAdresă de e-mail confirmată pe cmu.edu
Peng ChenGeorgia Institute of TechnologyAdresă de e-mail confirmată pe cc.gatech.edu
Bart van Bloemen WaandersSandia National LaboratoriesAdresă de e-mail confirmată pe sandia.gov
David O'HallaronProfessor of CS and ECE, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
Michael GurnisProfessor of Geophysics, California Institute of TechnologyAdresă de e-mail confirmată pe gps.caltech.edu
Umberto VillaOden Institute, UT AustinAdresă de e-mail confirmată pe oden.utexas.edu
Tobin IsaacComputational Mathematician, Mathematics and Computer Science Division, Argonne National LaboratoryAdresă de e-mail confirmată pe anl.gov
Thomas O'Leary-RoseberryOden Institute, The University of Texas at AustinAdresă de e-mail confirmată pe utexas.edu
Loukas F. KallivokasProfessor, The University of Texas at AustinAdresă de e-mail confirmată pe mail.utexas.edu
Matthias HeinkenschlossRice University, Dept. of Computational Applied Mathematics and Operations ResearchAdresă de e-mail confirmată pe rice.edu
Judith HillOak Ridge National LaboratoryAdresă de e-mail confirmată pe ornl.gov
James MartinInstitute for Computational Engineering and Sciences, UT AustinAdresă de e-mail confirmată pe ices.utexas.edu
Jonathan Richard ShewchukProfessor of Computer Science, University of California at BerkeleyAdresă de e-mail confirmată pe berkeley.edu

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Omar Ghattas

Professor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at Austin

Adresă de e-mail confirmată pe ices.utexas.edu - Pagina de pornire

inverse problems uncertainty quantification HPC scientific AI digital twins


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
`p4est`: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees C Burstedde, LC Wilcox, O Ghattas SIAM Journal on Scientific Computing 33 (3), 1103-1133, 2011	914	2011
A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion J Martin, LC Wilcox, C Burstedde, O Ghattas SIAM Journal on Scientific Computing 34 (3), A1460-A1487, 2012	536	2012
Model reduction for large-scale systems with high-dimensional parametric input space T Bui-Thanh, K Willcox, O Ghattas SIAM Journal on Scientific Computing 30 (6), 3270-3288, 2008	492	2008
A computational framework for infinite-dimensional Bayesian inverse problems Part I: The linearized case, with application to global seismic inversion T Bui-Thanh, O Ghattas, J Martin, G Stadler SIAM Journal on Scientific Computing 35 (6), A2494-A2523, 2013	473	2013
Large-scale simulation of elastic wave propagation in heterogeneous media on parallel computers H Bao, J Bielak, O Ghattas, LF Kallivokas, DR O'Hallaron, JR Shewchuk, ... Computer methods in applied mechanics and engineering 152 (1-2), 85-102, 1998	462	1998
Parallel Lagrange--Newton--Krylov--Schur methods for PDE-constrained optimization. Part I: The Krylov--Schur solver G Biros, O Ghattas SIAM Journal on Scientific Computing 27 (2), 687-713, 2005	381	2005
A high-order discontinuous Galerkin method for wave propagation through coupled elastic–acoustic media LC Wilcox, G Stadler, C Burstedde, O Ghattas Journal of computational Physics 229 (24), 9373-9396, 2010	349	2010
The dynamics of plate tectonics and mantle flow: From local to global scales G Stadler, M Gurnis, C Burstedde, LC Wilcox, L Alisic, O Ghattas Science 329 (5995), 1033-1038, 2010	334	2010
Parameter and state model reduction for large-scale statistical inverse problems C Lieberman, K Willcox, O Ghattas SIAM Journal on Scientific Computing 32 (5), 2523-2542, 2010	312	2010
Large-scale PDE-constrained optimization: an introduction LT Biegler, O Ghattas, M Heinkenschloss, B van Bloemen Waanders Large-scale PDE-constrained optimization, 3-13, 2003	296	2003
A computational framework for infinite-dimensional Bayesian inverse problems, Part II: Stochastic Newton MCMC with application to ice sheet flow inverse problems N Petra, J Martin, G Stadler, O Ghattas SIAM Journal on Scientific Computing 36 (4), A1525-A1555, 2014	293	2014
Non-linear model reduction for uncertainty quantification in large-scale inverse problems D Galbally, K Fidkowski, K Willcox, O Ghattas International Journal for Numerical Methods in Engineering 81, 1581-1608, 2010	292	2010
A Newton-CG method for large-scale three-dimensional elastic full-waveform seismic inversion I Epanomeritakis, V Akçelik, O Ghattas, J Bielak Inverse Problems 24 (3), 034015, 2008	279	2008
High resolution forward and inverse earthquake modeling on terascale computers V Akcelik, J Bielak, G Biros, I Epanomeritakis, A Fernandez, O Ghattas, ... Proceedings of the 2003 ACM/IEEE Conference on Supercomputing, 52, 2003	258	2003
From mesh generation to scientific visualization: An end-to-end approach to parallel supercomputing T Tu, H Yu, L Ramirez-Guzman, J Bielak, O Ghattas, KL Ma, ... Proceedings of the 2006 ACM/IEEE conference on Supercomputing, 91-es, 2006	256	2006
Goal-oriented, model-constrained optimization for reduction of large-scale systems T Bui-Thanh, K Willcox, O Ghattas, B van Bloemen Waanders Journal of Computational Physics 224 (2), 880-896, 2007	243	2007
Fast algorithms for Bayesian uncertainty quantification in large-scale linear inverse problems based on low-rank partial Hessian approximations HP Flath, LC Wilcox, V Akçelik, J Hill, B van Bloemen Waanders, ... SIAM Journal on Scientific Computing 33 (1), 407-432, 2011	239	2011
Large-scale inverse problems and quantification of uncertainty L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ... John Wiley & Sons, 2011	223	2011
Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications T Bui-Thanh, K Willcox, O Ghattas AIAA journal 46 (10), 2520-2529, 2008	221	2008
Parallel Lagrange--Newton--Krylov--Schur methods for PDE-constrained optimization. Part II: The Lagrange--Newton solver and its application to optimal control of steady viscous … G Biros, O Ghattas SIAM Journal on Scientific Computing 27 (2), 714-739, 2005	206	2005

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