Howard C. Elman

60 papers Journal 60

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Surrogate-based multilevel Monte Carlo methods for uncertainty quantification in the Grad-Shafranov free boundary problem. CoRR Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet
2024	J	`jnl`	Multilevel Monte Carlo methods for the Grad-Shafranov free boundary problem. Comput. Phys. Commun. Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet
2023	J	`jnl`	A deep neural network approach for parameterized PDEs and Bayesian inverse problems. Mach. Learn. Sci. Technol. Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
2023	J	`jnl`	An Assessment of the Supremizer and Aggregation Methods of Stabilization for Reduced-Order Models. CoRR Kayla D. Davie, Howard C. Elman
2023	J	`jnl`	Multilevel Monte Carlo methods for the Grad-Shafranov free boundary problem. CoRR Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet
2022	J	`jnl`	Surrogate approximation of the Grad-Shafranov free boundary problem via stochastic collocation on sparse grids. J. Comput. Phys. Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet
2021	J	`jnl`	Novel Deep neural networks for solving Bayesian statistical inverse. CoRR Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
2021	J	`jnl`	On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity. CoRR Bedrich Sousedík, Howard C. Elman, Kookjin Lee, Randy Price
2021	J	`jnl`	Surrogate Approximation of the Grad-Shafranov Free Boundary Problem via Stochastic Collocation on Sparse Grids. CoRR Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet
2020	J	`jnl`	Alternating Energy Minimization Methods for Multi-term Matrix Equations. CoRR Kookjin Lee, Howard C. Elman, Catherine E. Powell, Dongeun Lee
2020	J	`jnl`	Semi-smooth Newton methods for nonlinear complementarity formulation of compositional two-phase flow in porous media. J. Comput. Phys. Quan M. Bui, Howard C. Elman
2019	J	`jnl`	A Low-Rank Solver for the Navier-Stokes Equations with Uncertain Viscosity. SIAM/ASA J. Uncertain. Quantification Kookjin Lee, Howard C. Elman, Bedrich Sousedík
2019	J	`jnl`	A Low-rank Solver for the Stochastic Unsteady Navier-Stokes Problem. CoRR Howard C. Elman, Tengfei Su
2019	J	`jnl`	Low-Rank Solution Methods for Stochastic Eigenvalue Problems. SIAM J. Sci. Comput. Howard C. Elman, Tengfei Su
2019	J	`jnl`	Reduced-order modeling for nonlinear Bayesian statistical inverse problems. CoRR Howard C. Elman, Akwum Onwunta
2018	J	`jnl`	A Low-Rank Multigrid Method for the Stochastic Steady-State Diffusion Problem. SIAM J. Matrix Anal. Appl. Howard C. Elman, Tengfei Su
2018	J	`jnl`	Collocation Methods for Exploring Perturbations in Linear Stability Analysis. SIAM J. Sci. Comput. Howard C. Elman, David J. Silvester
2018	J	`jnl`	Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems. SIAM/ASA J. Uncertain. Quantification Kookjin Lee, Kevin Carlberg, Howard C. Elman
2017	J	`jnl`	A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations. SIAM J. Sci. Comput. Kookjin Lee, Howard C. Elman
2017	J	`jnl`	Algebraic Multigrid Preconditioners for Multiphase Flow in Porous Media. SIAM J. Sci. Comput. Quan M. Bui, Howard C. Elman, J. David Moulton
2016	J	`jnl`	Algebraic Multigrid Preconditioners for Multiphase Flow in Porous Media. CoRR Quan M. Bui, Howard C. Elman, J. David Moulton
2016	J	`jnl`	Block Preconditioners for Stable Mixed Nodal and Edge finite element Representations of Incompressible Resistive MHD. SIAM J. Sci. Comput. Edward G. Phillips, John N. Shadid, Eric C. Cyr, Howard C. Elman, Roger P. Pawlowski
2016	J	`jnl`	Inverse Subspace Iteration for Spectral Stochastic Finite Element Methods. SIAM/ASA J. Uncertain. Quantification Bedrich Sousedík, Howard C. Elman
2016	J	`jnl`	Stochastic Galerkin methods for the steady-state Navier-Stokes equations. J. Comput. Phys. Bedrich Sousedík, Howard C. Elman
2015	J	`jnl`	A stochastic approach to uncertainty in the equations of MHD kinematics. J. Comput. Phys. Edward G. Phillips, Howard C. Elman
2015	J	`jnl`	Preconditioning Techniques for Reduced Basis Methods for Parameterized Elliptic Partial Differential Equations. SIAM J. Sci. Comput. Howard C. Elman, Virginia Forstall
2014	J	`jnl`	A Block Preconditioner for an Exact Penalty Formulation for Stationary MHD. SIAM J. Sci. Comput. Edward G. Phillips, Howard C. Elman, Eric C. Cyr, John N. Shadid, Roger P. Pawlowski
2014	J	`jnl`	IFISS: A Computational Laboratory for Investigating Incompressible Flow Problems. SIAM Rev. Howard C. Elman, Alison Ramage, David J. Silvester
2013	J	`jnl`	Lyapunov Inverse Iteration for Computing a Few Rightmost Eigenvalues of Large Generalized Eigenvalue Problems. SIAM J. Matrix Anal. Appl. Howard C. Elman, Minghao Wu
2013	J	`jnl`	Reduced Basis Collocation Methods for Partial Differential Equations with Random Coefficients. SIAM/ASA J. Uncertain. Quantification Howard C. Elman, Qifeng Liao
2012	J	`jnl`	Efficient Iterative Solvers for Stochastic Galerkin Discretizations of Log-Transformed Random Diffusion Problems. SIAM J. Sci. Comput. Elisabeth Ullmann, Howard C. Elman, Oliver G. Ernst
2012	J	`jnl`	Fast Inexact Implicitly Restarted Arnoldi Method for Generalized Eigenvalue Problems with Spectral Transformation. SIAM J. Matrix Anal. Appl. Fei Xue, Howard C. Elman
2012	J	`jnl`	Lyapunov Inverse Iteration for Identifying Hopf Bifurcations in Models of Incompressible Flow. SIAM J. Sci. Comput. Howard C. Elman, Karl Meerbergen, Alastair Spence, Minghao Wu
2011	J	`jnl`	Fast iterative solvers for buoyancy driven flow problems. J. Comput. Phys. Howard C. Elman, Milan D. Mihajlovic, David J. Silvester
2011	J	`jnl`	Special Section: 2010 Copper Mountain Conference. SIAM J. Sci. Comput. Ray Tuminaro, Michele Benzi, Xiao-Chuan Cai, Iain Duff, Howard C. Elman, Roland Freund, Kirk E. Jordan, Tim Kelley, David E. Keyes, Misha Elena Kilmer, Sven Leyffer, Tom Manteuffel, Steve F. McCormick, David J. Silvester, Homer F. Walker
2010	J	`jnl`	H( Math. Comput. Howard C. Elman, Darran G. Furnival, Catherine E. Powell
2009	J	`jnl`	Convergence Analysis of Iterative Solvers in Inexact Rayleigh Quotient Iteration. SIAM J. Matrix Anal. Appl. Fei Xue, Howard C. Elman
2008	J	`jnl`	A taxonomy and comparison of parallel block multi-level preconditioners for the incompressible Navier-Stokes equations. J. Comput. Phys. Howard C. Elman, Victoria E. Howle, John N. Shadid, Robert Shuttleworth, Ray Tuminaro
2007	J	`jnl`	Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow. ACM Trans. Math. Softw. Howard C. Elman, Alison Ramage, David J. Silvester
2007	J	`jnl`	Least Squares Preconditioners for Stabilized Discretizations of the Navier-Stokes Equations. SIAM J. Sci. Comput. Howard C. Elman, Victoria E. Howle, John N. Shadid, David J. Silvester, Ray S. Tuminaro
2006	J	`jnl`	Analysis and Comparison of Geometric and Algebraic Multigrid for Convection-Diffusion Equations. SIAM J. Sci. Comput. Chin-Tien Wu, Howard C. Elman
2006	J	`jnl`	Block Preconditioners Based on Approximate Commutators. SIAM J. Sci. Comput. Howard C. Elman, Victoria E. Howle, John N. Shadid, Robert Shuttleworth, Ray S. Tuminaro
2005	J	`jnl`	Preconditioning Strategies for Models of Incompressible Flow. J. Sci. Comput. Howard C. Elman
2003	J	`jnl`	A characterisation of oscillations in the discrete two-dimensional convection-diffusion equation. Math. Comput. Howard C. Elman, Alison Ramage
2002	J	`jnl`	An Analysis of Smoothing Effects of Upwinding Strategies for the Convection-Diffusion Equation. SIAM J. Numer. Anal. Howard C. Elman, Alison Ramage
2002	J	`jnl`	Performance and analysis of saddle point preconditioners for the discrete steady-state Navier-Stokes equations. Numerische Mathematik Howard C. Elman, David J. Silvester, Andrew J. Wathen
2001	J	`jnl`	A Multigrid Method Enhanced by Krylov Subspace Iteration for Discrete Helmholtz Equations. SIAM J. Sci. Comput. Howard C. Elman, Oliver G. Ernst, Dianne P. O'Leary
2000	J	`jnl`	Special Issue on Iterative Methods for Solving Systems of Algebraic Equations. SIAM J. Sci. Comput. Howard C. Elman
1999	J	`jnl`	Eigenanalysis of some preconditioned Helmholtz problems. Numerische Mathematik Howard C. Elman, Dianne P. O'Leary
1999	J	`jnl`	Preconditioning for the Steady-State Navier-Stokes Equations with Low Viscosity. SIAM J. Sci. Comput. Howard C. Elman
1998	J	`jnl`	Introduction to the Special Issue on Iterative Methods for Solving Systems of Algebraic Equations. SIAM J. Sci. Comput. Howard C. Elman
1997	J	`jnl`	Perturbation of Eigenvalues of Preconditioned Navier-Stokes Operators. SIAM J. Matrix Anal. Appl. Howard C. Elman
1996	J	`jnl`	Fast Nonsymmetric Iterations and Preconditioning for Navier-Stokes Equations. SIAM J. Sci. Comput. Howard C. Elman, David J. Silvester
1995	J	`jnl`	Algebraic Analysis of the Hierarchical Basis Preconditioner. SIAM J. Matrix Anal. Appl. Howard C. Elman, Xuejun Zhang
1995	J	`jnl`	Use of Linear Algebra Kernels to Build an Efficient Finite Element Solver. Parallel Comput. Howard C. Elman, Dennis K.-Y. Lee
1993	J	`jnl`	Performance Enhancements and Parallel Algorithms for Two Multilevel Preconditioners. SIAM J. Sci. Comput. Howard C. Elman, Xian-Zhong Guo
1992	J	`jnl`	Line Iterative Methods for Cyclically Reduced Discrete Convection-Diffusion Problems. SIAM J. Sci. Comput. Howard C. Elman, Gene H. Golub
1992	J	`jnl`	Parallel Implementation of the hp-Version of the Finite Element Method on a Shared-Memory Architecture. SIAM J. Sci. Comput. Ivo Babuska, Howard C. Elman, K. Markley
1992	J	`jnl`	Parallel sparse Cholesky factorization on a shared memory multiprocessor. Parallel Comput. G. Zhang, Howard C. Elman
1989	J	`jnl`	Fourier Analysis of Iterative Methods for Elliptic pr. SIAM Rev. Tony F. Chan, Howard C. Elman