| An overview of the Trilinos project MA Heroux, RA Bartlett, VE Howle, RJ Hoekstra, JJ Hu, TG Kolda, ... ACM Transactions on Mathematical Software (TOMS) 31 (3), 397-423, 2005 | 1334 | 2005 |
| An overview of Trilinos M Heroux, R Bartlett, VHR Hoekstra, J Hu, T Kolda, R Lehoucq, K Long, ... Technical Report SAND2003-2927, Sandia National Laboratories, 2003 | 468 | 2003 |
| ML 5.0 smoothed aggregation user’s guide MW Gee, CM Siefert, JJ Hu, RS Tuminaro, MG Sala Technical Report SAND2006-2649, Sandia National Laboratories, 2006 | 428 | 2006 |
| Official Aztec user’s guide: Version 2.1 RS Tuminaro, M Heroux, SA Hutchinson, JN Shadid Sandia National Laboratories, Albuquerque, NM 87185, 1999 | 268* | 1999 |
| Block preconditioners based on approximate commutators H Elman, VE Howle, J Shadid, R Shuttleworth, R Tuminaro SIAM Journal on Scientific Computing 27 (5), 1651-1668, 2006 | 233 | 2006 |
| Parallel multigrid smoothing: polynomial versus Gauss–Seidel M Adams, M Brezina, J Hu, R Tuminaro Journal of Computational Physics 188 (2), 593-610, 2003 | 231 | 2003 |
| A taxonomy and comparison of parallel block multi-level preconditioners for the incompressible Navier–Stokes equations H Elman, VE Howle, J Shadid, R Shuttleworth, R Tuminaro Journal of Computational Physics 227 (3), 1790-1808, 2008 | 181 | 2008 |
| A survey of parallelization techniques for multigrid solvers E Chow, RD Falgout, JJ Hu, RS Tuminaro, UM Yang Parallel processing for scientific computing, 179-201, 2006 | 151 | 2006 |
| Parallel smoothed aggregation multigrid: Aggregation strategies on massively parallel machines RS Tuminaro, C Tong SC'00: Proceedings of the 2000 ACM/IEEE Conference on Supercomputing, 5-5, 2000 | 150 | 2000 |
| A comparison of eigensolvers for large‐scale 3D modal analysis using AMG‐preconditioned iterative methods P Arbenz, UL Hetmaniuk, RB Lehoucq, RS Tuminaro International Journal for Numerical Methods in Engineering 64 (2), 204-236, 2005 | 139 | 2005 |
| Aztec users guide. Version 1 SA Hutchinson, JN Shadid, RS Tuminaro Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 1995 | 131* | 1995 |
| Towards a scalable fully-implicit fully-coupled resistive MHD formulation with stabilized FE methods JN Shadid, RP Pawlowski, JW Banks, L Chacón, PT Lin, RS Tuminaro Journal of Computational Physics 229 (20), 7649-7671, 2010 | 105 | 2010 |
| An improved algebraic multigrid method for solving Maxwell's equations PB Bochev, CJ Garasi, JJ Hu, AC Robinson, RS Tuminaro SIAM Journal on Scientific Computing 25 (2), 623-642, 2003 | 102 | 2003 |
| An inexact Newton method for fully coupled solution of the Navier–Stokes equations with heat and mass transport JN Shadid, RS Tuminaro, HF Walker Journal of Computational Physics 137 (1), 155-185, 1997 | 101 | 1997 |
| A new Petrov–Galerkin smoothed aggregation preconditioner for nonsymmetric linear systems M Sala, RS Tuminaro SIAM Journal on Scientific Computing 31 (1), 143-166, 2008 | 99 | 2008 |
| Preserving Lagrangian structure in nonlinear model reduction with application to structural dynamics K Carlberg, R Tuminaro, P Boggs SIAM Journal on Scientific Computing 37 (2), B153-B184, 2015 | 96 | 2015 |
| Assessment of collocation and Galerkin approaches to linear diffusion equations with random data HC Elman, CW Miller, ET Phipps, RS Tuminaro International Journal for Uncertainty Quantification 1 (1), 2011 | 94 | 2011 |
| Albany/FELIX: a parallel, scalable and robust, finite element, first-order Stokes approximation ice sheet solver built for advanced analysis IK Tezaur, M Perego, AG Salinger, RS Tuminaro, SF Price Geoscientific Model Development 8 (4), 1197-1220, 2015 | 78 | 2015 |
| A parallel block multi-level preconditioner for the 3D incompressible Navier–Stokes equations HC Elman, VE Howle, JN Shadid, RS Tuminaro Journal of Computational Physics 187 (2), 504-523, 2003 | 76 | 2003 |
| Least squares preconditioners for stabilized discretizations of the Navier–Stokes equations H Elman, VE Howle, J Shadid, D Silvester, R Tuminaro SIAM Journal on Scientific Computing 30 (1), 290-311, 2008 | 72 | 2008 |
John N. ShadidSandia National Labs, Computational Mathematics Dept.; Univ. of New Mexico, Mathematics Dept.Verified email at sandia.gov
