Raymond Tuminaro

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John N. ShadidSandia National Labs, Computational Mathematics Dept.; Univ. of New Mexico, Mathematics Dept.Verified email at sandia.gov
Andrew G. SalingerSandia National LaboratoriesVerified email at sandia.gov
Victoria E. HowleTexas Tech UniversityVerified email at ttu.edu
Eric PhippsSandia National LaboratoriesVerified email at sandia.gov
Howard ElmanProfessor of Computer Science, University of MarylandVerified email at umd.edu
Irina Tezaur (f.k.a. Irina Kalashnikova)Distinguished Member of Technical Staff, Quantitative Modeling & Analysis DepartmentVerified email at sandia.gov
Richard LehoucqSandia National LabsVerified email at sandia.gov
Michael W. GeeProfessor Mechanics & High Performance Computing, TU Munich, GermanyVerified email at tum.de
Michael HerouxSenior Scientist, Sandia National LaboratoriesVerified email at sandia.gov
Stephen PriceLos Alamos National LaboratoryVerified email at lanl.gov
Robert HoekstraSandia National LaboratoriesVerified email at sandia.gov
Pavel BochevDistinguished Member of technical Staff, Sandia National LaboratoriesVerified email at sandia.gov
Haim WaismanProfessor and Department Chair, Columbia UniversityVerified email at civil.columbia.edu
Luc Berger-VergiatSandia National LaboratoriesVerified email at columbia.edu
Luis ChaconLos Alamos National LaboratoryVerified email at lanl.gov
Erik G. BomanSandia National LaboratoriesVerified email at sandia.gov
Eric C. CyrComputational Mathematics Department, Sandia National LaboratoriesVerified email at sandia.gov
Luke OlsonProfessor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Jacob B SchroderDept. of Math & Stats, University of New MexicoVerified email at unm.edu
Kevin CarlbergMetaVerified email at meta.com

Raymond Tuminaro

Sanida National Labs

Verified email at sandia.gov - Homepage

numerical linear algebra multigrid methods


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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	1416	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	480	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	446	2006
Official Aztec user's guide: Version 2.1 RS Tuminaro Technical report, 99, 1999	278*	1999
Parallel multigrid smoothing: polynomial versus Gauss–Seidel M Adams, M Brezina, J Hu, R Tuminaro Journal of Computational Physics 188 (2), 593-610, 2003	261	2003
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	257	2006
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	203	2008
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	159	2000
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	156	2006
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	147	2005
Aztec users guide. Version 1 SA Hutchinson, JN Shadid, RS Tuminaro Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 1995	134*	1995
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	123	2015
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	113	2010
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	107	2008
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	107	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	105	1997
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	96	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	93	2015
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	80	2008
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	78	2003

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