| Year |
Citation |
Score |
| 2019 |
Chen P, Villa U, Ghattas O. Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty Journal of Computational Physics. 385: 163-186. DOI: 10.1016/J.Jcp.2019.01.047 |
0.373 |
|
| 2018 |
Wang K, Bui-Thanh T, Ghattas O. A Randomized Maximum A Posteriori Method for Posterior Sampling of High Dimensional Nonlinear Bayesian Inverse Problems Siam Journal On Scientific Computing. 40: A142-A171. DOI: 10.1137/16M1060625 |
0.471 |
|
| 2018 |
Crestel B, Stadler G, Ghattas O. A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs Inverse Problems. 35: 024003. DOI: 10.1088/1361-6420/Aaf129 |
0.37 |
|
| 2017 |
Rudi J, Stadler G, Ghattas O. Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity Siam Journal On Scientific Computing. 39: S272-S297. DOI: 10.1137/16M108450X |
0.389 |
|
| 2017 |
Alger N, Villa U, Bui-Thanh T, Ghattas O. A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems Siam Journal On Scientific Computing. 39: A2365-A2393. DOI: 10.1137/16M1084365 |
0.353 |
|
| 2017 |
Alexanderian A, Petra N, Stadler G, Ghattas O. Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations Siam/Asa Journal On Uncertainty Quantification. 5: 1166-1192. DOI: 10.1137/16M106306X |
0.401 |
|
| 2017 |
Crestel B, Alexanderian A, Stadler G, Ghattas O. A-optimal encoding weights for nonlinear inverse problems, with application to the Helmholtz inverse problem Inverse Problems. 33: 074008. DOI: 10.1088/1361-6420/Aa6D8E |
0.465 |
|
| 2017 |
Chen P, Villa U, Ghattas O. Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems Computer Methods in Applied Mechanics and Engineering. 327: 147-172. DOI: 10.1016/J.Cma.2017.08.016 |
0.373 |
|
| 2016 |
Zhu H, Petra N, Stadler G, Isaac T, Hughes TJR, Ghattas O. Inversion of geothermal heat flux in a thermomechanically coupled nonlinear Stokes ice sheet model Cryosphere. 10: 1477-1494. DOI: 10.5194/Tc-10-1477-2016 |
0.422 |
|
| 2016 |
Alexanderian A, Gloor PJ, Ghattas O. On Bayesian A- and D-optimal experimental designs in infinite dimensions Bayesian Analysis. 11: 671-695. DOI: 10.1214/15-Ba969 |
0.369 |
|
| 2016 |
Zhu H, Li S, Fomel S, Stadler G, Ghattas O. A Bayesian approach to estimate uncertainty for full-waveform inversion using a priori information from depth migration Geophysics. 81: R307-R323. DOI: 10.1190/Geo2015-0641.1 |
0.647 |
|
| 2015 |
Bui-Thanh T, Ghattas O. A scalable algorithm for map estimators in Bayesian inverse problems with Besov priors Inverse Problems and Imaging. 9: 27-53. DOI: 10.3934/Ipi.2015.9.27 |
0.474 |
|
| 2015 |
Zhu H, Li S, Fomel S, Stadler G, Ghattas O. Uncertainty estimation for full waveform inversion with a prior information from depth migration Seg Technical Program Expanded Abstracts. 34: 1409-1414. DOI: 10.1190/Segam2015-5834647.1 |
0.64 |
|
| 2015 |
Rudi J, Malossi ACI, Isaac T, Stadler G, Gurnis M, Staar PWJ, Ineichen Y, Bekas C, Curioni A, Ghattas O. An extreme-scale implicit solver for complex PDEs: Highly heterogeneous flow in earth's mantle International Conference For High Performance Computing, Networking, Storage and Analysis, Sc. 15. DOI: 10.1145/2807591.2807675 |
0.305 |
|
| 2015 |
Isaac T, Petra N, Stadler G, Ghattas O. Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet Journal of Computational Physics. 296: 348-368. DOI: 10.1016/J.Jcp.2015.04.047 |
0.394 |
|
| 2015 |
Wilcox LC, Stadler G, Bui-Thanh T, Ghattas O. Discretely Exact Derivatives for Hyperbolic PDE-Constrained Optimization Problems Discretized by the Discontinuous Galerkin Method Journal of Scientific Computing. 63: 138-162. DOI: 10.1007/S10915-014-9890-5 |
0.353 |
|
| 2014 |
Petra N, Martin J, Stadler G, Ghattas O. A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems Siam Journal On Scientific Computing. 36: A1525-A1555. DOI: 10.1137/130934805 |
0.449 |
|
| 2014 |
Alexanderian A, Petra N, Stadler G, Ghattas O. A-Optimal design of experiments for infinite-dimensional Bayesian linear inverse problems with regularized l0-Sparsification Siam Journal On Scientific Computing. 36: A2122-A2148. DOI: 10.1137/130933381 |
0.381 |
|
| 2014 |
Bui-Thanh T, Ghattas O. An Analysis of Infinite Dimensional Bayesian Inverse Shape Acoustic Scattering and Its Numerical Approximation Siam/Asa Journal On Uncertainty Quantification. 2: 203-222. DOI: 10.1137/120894877 |
0.433 |
|
| 2014 |
Worthen J, Stadler G, Petra N, Gurnis M, Ghattas O. Towards adjoint-based inversion for rheological parameters in nonlinear viscous mantle flow Physics of the Earth and Planetary Interiors. 234: 23-34. DOI: 10.1016/J.Pepi.2014.06.006 |
0.376 |
|
| 2014 |
Bui-Thanh T, Ghattas O. A PDE-constrained optimization approach to the discontinuous Petrov-Galerkin method with a trust region inexact Newton-CG solver Computer Methods in Applied Mechanics and Engineering. 278: 20-40. DOI: 10.1016/J.Cma.2014.04.018 |
0.448 |
|
| 2013 |
Bui-Thanh T, Ghattas O. Analysis of the Hessian for inverse scattering problems. Part III: Inverse medium scattering of electromagnetic waves in three dimensions Inverse Problems and Imaging. 7: 1139-1155. DOI: 10.3934/Ipi.2013.7.1139 |
0.431 |
|
| 2013 |
Bui-Thanh T, Ghattas O, Martin J, Stadler G. A computational framework for infinite-dimensional bayesian inverse problems part I: The linearized case, with application to global seismic inversion Siam Journal On Scientific Computing. 35. DOI: 10.1137/12089586X |
0.488 |
|
| 2013 |
Bui-Thanh T, Demkowicz L, Ghattas O. A unified discontinuous Petrov-Galerkin method and its analysis for Friedrichs' systems Siam Journal On Numerical Analysis. 51: 1933-1958. DOI: 10.1137/110854369 |
0.361 |
|
| 2013 |
Bui-Thanh T, Demkowicz L, Ghattas O. Constructively well-posed approximation methods with unity inf-sup and continuity constants for partial differential equations Mathematics of Computation. 82: 1923-1952. DOI: 10.1090/S0025-5718-2013-02697-X |
0.361 |
|
| 2012 |
Petra N, Zhu H, Stadler G, Hughes TJR, Ghattas O. An inexact Gauss-Newton method for inversion of basal sliding and rheology parameters in a nonlinear Stokes ice sheet model Journal of Glaciology. 58: 889-903. DOI: 10.3189/2012Jog11J182 |
0.33 |
|
| 2012 |
Bui-Thanh T, Ghattas O, Higdon D. Adaptive hessian-based nonstationary gaussian process response surface method for probability density approximation with application to bayesian solution of large-scale inverse problems Siam Journal On Scientific Computing. 34. DOI: 10.1137/110851419 |
0.395 |
|
| 2012 |
Martin J, Wilcox LC, Burstedde C, Ghattas O. A Stochastic Newton MCMC Method for Large-Scale Statistical Inverse Problems with Application to Seismic Inversion Siam Journal On Scientific Computing. 34: A1460-A1487. DOI: 10.1137/110845598 |
0.454 |
|
| 2012 |
Bui-Thanh T, Ghattas O. Analysis of an hp-nonconforming discontinuous galerkin spectral element method for wave propagation Siam Journal On Numerical Analysis. 50: 1801-1826. DOI: 10.1137/110828010 |
0.38 |
|
| 2012 |
Sundar H, Biros G, Burstedde C, Rudi J, Ghattas O, Stadler G. Parallel geometric-algebraic multigrid on unstructured forests of octrees International Conference For High Performance Computing, Networking, Storage and Analysis, Sc. DOI: 10.1109/SC.2012.91 |
0.486 |
|
| 2012 |
Tan BT, Ghattas O. Analysis of the Hessian for inverse scattering problems: II. Inverse medium scattering of acoustic waves Inverse Problems. 28. DOI: 10.1088/0266-5611/28/5/055001 |
0.416 |
|
| 2012 |
Allaire D, Biros G, Chambers J, Ghattas O, Kordonowy D, Willcox K. Dynamic data driven methods for self-aware aerospace vehicles Procedia Computer Science. 9: 1206-1210. DOI: 10.1016/j.procs.2012.04.130 |
0.533 |
|
| 2011 |
Yang S, Stadler G, Moser R, Ghattas O. A shape hessian-based boundary roughness analysis of navier-stokes flow Siam Journal On Applied Mathematics. 71: 333-355. DOI: 10.1137/100796789 |
0.32 |
|
| 2011 |
Flath HP, Wilcox LC, AkçElik V, Hill J, Van Bloemen Waanders B, Ghattas O. Fast algorithms for bayesian uncertainty quantification in large-scale linear inverse problems based on low-rank partial hessian approximations Siam Journal On Scientific Computing. 33: 407-432. DOI: 10.1137/090780717 |
0.622 |
|
| 2010 |
Lieberman C, Willcox K, Ghattas O. Parameter and state model reduction for large-scale statistical inverse problems Siam Journal On Scientific Computing. 32: 2523-2542. DOI: 10.1137/090775622 |
0.44 |
|
| 2010 |
Wilcox LC, Stadler G, Burstedde C, Ghattas O. A high-order discontinuous Galerkin method for wave propagation through coupled elastic-acoustic media Journal of Computational Physics. 229: 9373-9396. DOI: 10.1016/J.Jcp.2010.09.008 |
0.397 |
|
| 2010 |
Askan A, Akcelik V, Bielak J, Ghattas O. Parameter sensitivity analysis of a nonlinear least-squares optimization-based anelastic full waveform inversion method Comptes Rendus - Mecanique. 338: 364-376. DOI: 10.1016/J.Crme.2010.07.002 |
0.762 |
|
| 2010 |
Galbally D, Fidkowski K, Willcox K, Ghattas O. Non-linear model reduction for uncertainty quantification in large-scale inverse problems International Journal For Numerical Methods in Engineering. 81: 1581-1608. DOI: 10.1002/Nme.2746 |
0.374 |
|
| 2010 |
Biegler L, Biros G, Ghattas O, Heinkenschloss M, Keyes D, Mallick B, Marzouk Y, Tenorio L, van Bloemen Waanders B, Willcox K. Large-Scale Inverse Problems and Quantification of Uncertainty Large-Scale Inverse Problems and Quantification of Uncertainty. DOI: 10.1002/9780470685853 |
0.583 |
|
| 2009 |
Burstedde C, Ghattas O. Algorithmic strategies for full waveform inversion: 1D experiments Geophysics. 74. DOI: 10.1190/1.3237116 |
0.382 |
|
| 2009 |
Burstedde C, Ghattas O, Stadler G, Tu T, Wilcox LC. Parallel scalable adjoint-based adaptive solution of variable-viscosity Stokes flow problems Computer Methods in Applied Mechanics and Engineering. 198: 1691-1700. DOI: 10.1016/J.Cma.2008.12.015 |
0.317 |
|
| 2008 |
Bui-Thanh T, Willcox K, Ghattas O. Model reduction for large-scale systems with high-dimensional parametric input space Siam Journal On Scientific Computing. 30: 3270-3288. DOI: 10.1137/070694855 |
0.391 |
|
| 2008 |
Epanomeritakis I, Akçelik V, Ghattas O, Bielak J. A Newton-CG method for large-scale three-dimensional elastic full-waveform seismic inversion Inverse Problems. 24. DOI: 10.1088/0266-5611/24/3/034015 |
0.386 |
|
| 2008 |
Tenorio L, Haber E, Symes WW, Stark PB, Cox D, Ghattas O. Guest Editors' introduction to the special section on statistical and computational issues in inverse problems Inverse Problems. 24. DOI: 10.1088/0266-5611/24/3/034001 |
0.303 |
|
| 2008 |
Bashir O, Willcox K, Ghattas O, van Bloemen Waanders B, Hill J. Hessian-based model reduction for large-scale systems with initial-condition inputs International Journal For Numerical Methods in Engineering. 73: 844-868. DOI: 10.1002/Nme.2100 |
0.615 |
|
| 2007 |
Bui-Thanh T, Willcox K, Ghattas O. Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference. 4: 4235-4249. DOI: 10.2514/1.35850 |
0.436 |
|
| 2007 |
Askan A, Akcelik V, Bielak J, Ghattas O. Full waveform inversion for seismic velocity and anelastic losses in heterogeneous structures Bulletin of the Seismological Society of America. 97: 1990-2008. DOI: 10.1785/0120070079 |
0.761 |
|
| 2007 |
Lee LQ, Akcelik V, Chen S, Ge L, Prudencio E, Schussman G, Uplenchwar R, Ng C, Ko K, Luo X, Shephard M, Ng E, Li X, Yang C, Husbands P, ... ... Ghattas O, et al. Enabling technologies for petascale electromagnetic accelerator simulation Journal of Physics: Conference Series. 78. DOI: 10.1088/1742-6596/78/1/012040 |
0.688 |
|
| 2007 |
Bui-Thanh T, Willcox K, Ghattas O, van Bloemen Waanders B. Goal-oriented, model-constrained optimization for reduction of large-scale systems Journal of Computational Physics. 224: 880-896. DOI: 10.1016/J.Jcp.2006.10.026 |
0.402 |
|
| 2007 |
Akcelik V, Biros G, Ghattas O. Minisymposium 1: Domain Decomposition Methods for Simulation-constrained Optimization Lecture Notes in Computational Science and Engineering. 55: 153. |
0.758 |
|
| 2006 |
Biros G, Ghattas O. 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 flows Siam Journal On Scientific Computing. 27: 714-739. DOI: 10.1137/S1064827502415661 |
0.671 |
|
| 2006 |
Biros G, Ghattas O. Parallel Lagrange-Newton-Krylov-Schur methods for PDE-constrained optimization. Part I: The Krylov-Schur solver Siam Journal On Scientific Computing. 27: 687-713. DOI: 10.1137/S106482750241565X |
0.671 |
|
| 2006 |
Akcelik V, Biros G, Draganescu A, Ghattas O, Hill J, Van Bloemen Waanders B. Inversion of airborne contaminants in a regional model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3993: 481-488. DOI: 10.1007/11758532_64 |
0.715 |
|
| 2005 |
Akçelik V, Biros G, Ghattas O, Keyes D, Ko K, Lee LQ, Ng EG. Adjoint methods for electromagnetic shape optimization of the low-loss cavity for the international linear collider Journal of Physics: Conference Series. 16: 435-445. DOI: 10.1088/1742-6596/16/1/059 |
0.618 |
|
| 2004 |
Akçelik V, Bielak J, Biros G, Epanomeritakis I, Ghattas O, Kallivokas LF, Kim EJ. A framework for online inversion-based 3D site characterization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3038: 717-724. |
0.54 |
|
| 2003 |
Akçelik V, Bielak J, Biros G, Epanomeritakis I, Fernández A, Ghattas O, Kim EJ, López J, O'Hallaron D, Tu T, Urbanic J. High resolution forward and inverse earthquake modeling on terascale computers Proceedings of the 2003 Acm/Ieee Conference On Supercomputing, Sc 2003. DOI: 10.1145/1048935.1050202 |
0.602 |
|
| 2003 |
Akçelik V, Biros G, Ghattas O, Long KR, Van Bloemen Waanders B. A variational finite element method for source inversion for convective-diffusive transport Finite Elements in Analysis and Design. 39: 683-705. DOI: 10.1016/S0168-874X(03)00054-4 |
0.748 |
|
| 2002 |
Malcevic I, Ghattas O. Dynamic-mesh finite element method for Lagrangian computational fluid dynamics Finite Elements in Analysis and Design. 38: 965-982. DOI: 10.1016/S0168-874X(02)00088-4 |
0.335 |
|
| 2001 |
Akcelik V, Jaramaz B, Ghattas O. Nearly Orthogonal Two-Dimensional Grid Generation with Aspect Ratio Control Journal of Computational Physics. 171: 805-821. DOI: 10.1006/Jcph.2001.6811 |
0.742 |
|
| 1998 |
Ghattas O, Li X. Domain decomposition methods for sensitivity analysis of a nonlinear aeroelasticity problem International Journal of Computational Fluid Dynamics. 11: 113-130. DOI: 10.1080/10618569808940868 |
0.393 |
|
| 1998 |
Bao H, Bielak J, Ghattas O, Kallivokas LF, O'Hallaron DR, Shewchuk JR, Xu J. Large-scale simulation of elastic wave propagation in heterogeneous media on parallel computers Computer Methods in Applied Mechanics and Engineering. 152: 85-102. |
0.335 |
|
| 1997 |
Ghattas O, Bark JH. Optimal control of two- and three-dimensional incompressible Navier-Stokes flows Journal of Computational Physics. 136: 231-244. DOI: 10.1006/Jcph.1997.5744 |
0.39 |
|
| 1996 |
Orozco CE, Ghattas ON. Infeasible path optimal design methods with applications to aerodynamic shape optimization Aiaa Journal. 34: 217-224. |
0.347 |
|
| 1995 |
Ghattas O, Li X. A variational finite element method for stationary nonlinear fluid-solid interaction Journal of Computational Physics. 121: 347-356. DOI: 10.1016/S0021-9991(95)90204-X |
0.406 |
|
| 1992 |
Orozco CE, Ghattas ON. Massively parallel aerodynamic shape optimization Computing Systems in Engineering. 3: 311-320. DOI: 10.1016/0956-0521(92)90116-Z |
0.384 |
|
| Show low-probability matches. |