Howard C. Elman

According to our database, Howard C. Elman authored at least 56 papers between 1989 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A deep neural network approach for parameterized PDEs and Bayesian inverse problems.

Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma

Mach. Learn. Sci. Technol., September, 2023

Multilevel Monte Carlo methods for the Grad-Shafranov free boundary problem.

Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet

CoRR, 2023

An Assessment of the Supremizer and Aggregation Methods of Stabilization for Reduced-Order Models.

Kayla D. Davie, Howard C. Elman

CoRR, 2023

2022

Surrogate approximation of the Grad-Shafranov free boundary problem via stochastic collocation on sparse grids.

Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet

J. Comput. Phys., 2022

2021

On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity.

Bedrich Sousedík, Howard C. Elman, Kookjin Lee, Randy Price

CoRR, 2021

Novel Deep neural networks for solving Bayesian statistical inverse.

Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma

CoRR, 2021

2020

Semi-smooth Newton methods for nonlinear complementarity formulation of compositional two-phase flow in porous media.

Quan M. Bui, Howard C. Elman

J. Comput. Phys., 2020

Alternating Energy Minimization Methods for Multi-term Matrix Equations.

Kookjin Lee, Howard C. Elman, Catherine E. Powell, Dongeun Lee

CoRR, 2020

2019

Low-Rank Solution Methods for Stochastic Eigenvalue Problems.

Howard C. Elman, Tengfei Su

SIAM J. Sci. Comput., 2019

A Low-Rank Solver for the Navier-Stokes Equations with Uncertain Viscosity.

Kookjin Lee, Howard C. Elman, Bedrich Sousedík

SIAM/ASA J. Uncertain. Quantification, 2019

Reduced-order modeling for nonlinear Bayesian statistical inverse problems.

Howard C. Elman, Akwum Onwunta

CoRR, 2019

A Low-rank Solver for the Stochastic Unsteady Navier-Stokes Problem.

Howard C. Elman, Tengfei Su

CoRR, 2019

2018

Collocation Methods for Exploring Perturbations in Linear Stability Analysis.

Howard C. Elman, David J. Silvester

SIAM J. Sci. Comput., 2018

A Low-Rank Multigrid Method for the Stochastic Steady-State Diffusion Problem.

Howard C. Elman, Tengfei Su

SIAM J. Matrix Anal. Appl., 2018

Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems.

Kookjin Lee, Kevin Carlberg, Howard C. Elman

SIAM/ASA J. Uncertain. Quantification, 2018

2017

A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations.

Kookjin Lee, Howard C. Elman

SIAM J. Sci. Comput., 2017

Algebraic Multigrid Preconditioners for Multiphase Flow in Porous Media.

Quan M. Bui, Howard C. Elman, J. David Moulton

SIAM J. Sci. Comput., 2017

2016

Block Preconditioners for Stable Mixed Nodal and Edge finite element Representations of Incompressible Resistive MHD.

Edward G. Phillips, John N. Shadid, Eric C. Cyr, Howard C. Elman, Roger P. Pawlowski

SIAM J. Sci. Comput., 2016

Inverse Subspace Iteration for Spectral Stochastic Finite Element Methods.

Bedrich Sousedík, Howard C. Elman

SIAM/ASA J. Uncertain. Quantification, 2016

Stochastic Galerkin methods for the steady-state Navier-Stokes equations.

Bedrich Sousedík, Howard C. Elman

J. Comput. Phys., 2016

2015

Preconditioning Techniques for Reduced Basis Methods for Parameterized Elliptic Partial Differential Equations.

Howard C. Elman, Virginia Forstall

SIAM J. Sci. Comput., 2015

A stochastic approach to uncertainty in the equations of MHD kinematics.

Edward G. Phillips, Howard C. Elman

J. Comput. Phys., 2015

2014

A Block Preconditioner for an Exact Penalty Formulation for Stationary MHD.

Edward G. Phillips, Howard C. Elman, Eric C. Cyr, John N. Shadid, Roger P. Pawlowski

SIAM J. Sci. Comput., 2014

IFISS: A Computational Laboratory for Investigating Incompressible Flow Problems.

Howard C. Elman, Alison Ramage, David J. Silvester

SIAM Rev., 2014

2013

Lyapunov Inverse Iteration for Computing a Few Rightmost Eigenvalues of Large Generalized Eigenvalue Problems.

Howard C. Elman, Minghao Wu

SIAM J. Matrix Anal. Appl., 2013

Reduced Basis Collocation Methods for Partial Differential Equations with Random Coefficients.

Howard C. Elman, Qifeng Liao

SIAM/ASA J. Uncertain. Quantification, 2013

2012

Efficient Iterative Solvers for Stochastic Galerkin Discretizations of Log-Transformed Random Diffusion Problems.

Elisabeth Ullmann, Howard C. Elman, Oliver G. Ernst

SIAM J. Sci. Comput., 2012

Lyapunov Inverse Iteration for Identifying Hopf Bifurcations in Models of Incompressible Flow.

Howard C. Elman, Karl Meerbergen, Alastair Spence, Minghao Wu

SIAM J. Sci. Comput., 2012

Fast Inexact Implicitly Restarted Arnoldi Method for Generalized Eigenvalue Problems with Spectral Transformation.

Fei Xue, Howard C. Elman

SIAM J. Matrix Anal. Appl., 2012

2011

Special Section: 2010 Copper Mountain Conference.

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

SIAM J. Sci. Comput., 2011

Fast iterative solvers for buoyancy driven flow problems.

Howard C. Elman, Milan D. Mihajlovic, David J. Silvester

J. Comput. Phys., 2011

2010

H(<i>div</i>) preconditioning for a mixed finite element formulation of the diffusion problem with random data.

Howard C. Elman, Darran G. Furnival, Catherine E. Powell

Math. Comput., 2010

2009

Convergence Analysis of Iterative Solvers in Inexact Rayleigh Quotient Iteration.

Fei Xue, Howard C. Elman

SIAM J. Matrix Anal. Appl., 2009

2008

A taxonomy and comparison of parallel block multi-level preconditioners for the incompressible Navier-Stokes equations.

Howard C. Elman, Victoria E. Howle, John N. Shadid, Robert Shuttleworth, Ray Tuminaro

J. Comput. Phys., 2008

2007

Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow.

Howard C. Elman, Alison Ramage, David J. Silvester

ACM Trans. Math. Softw., 2007

Least Squares Preconditioners for Stabilized Discretizations of the Navier-Stokes Equations.

Howard C. Elman, Victoria E. Howle, John N. Shadid, David J. Silvester, Ray S. Tuminaro

SIAM J. Sci. Comput., 2007

2006

Analysis and Comparison of Geometric and Algebraic Multigrid for Convection-Diffusion Equations.

Chin-Tien Wu, Howard C. Elman

SIAM J. Sci. Comput., 2006

Block Preconditioners Based on Approximate Commutators.

Howard C. Elman, Victoria E. Howle, John N. Shadid, Robert Shuttleworth, Ray S. Tuminaro

SIAM J. Sci. Comput., 2006

2005

Preconditioning Strategies for Models of Incompressible Flow.

Howard C. Elman

J. Sci. Comput., 2005

2003

A characterisation of oscillations in the discrete two-dimensional convection-diffusion equation.

Howard C. Elman, Alison Ramage

Math. Comput., 2003

2002

An Analysis of Smoothing Effects of Upwinding Strategies for the Convection-Diffusion Equation.

Howard C. Elman, Alison Ramage

SIAM J. Numer. Anal., 2002

Performance and analysis of saddle point preconditioners for the discrete steady-state Navier-Stokes equations.

Howard C. Elman, David J. Silvester, Andrew J. Wathen

Numerische Mathematik, 2002

2001

A Multigrid Method Enhanced by Krylov Subspace Iteration for Discrete Helmholtz Equations.

Howard C. Elman, Oliver G. Ernst, Dianne P. O'Leary

SIAM J. Sci. Comput., 2001

2000

Special Issue on Iterative Methods for Solving Systems of Algebraic Equations.

Howard C. Elman

SIAM J. Sci. Comput., 2000

1999

Preconditioning for the Steady-State Navier-Stokes Equations with Low Viscosity.

Howard C. Elman

SIAM J. Sci. Comput., 1999

Eigenanalysis of some preconditioned Helmholtz problems.

Howard C. Elman, Dianne P. O'Leary

Numerische Mathematik, 1999

1998

Introduction to the Special Issue on Iterative Methods for Solving Systems of Algebraic Equations.

Howard C. Elman

SIAM J. Sci. Comput., 1998

1997

Perturbation of Eigenvalues of Preconditioned Navier-Stokes Operators.

Howard C. Elman

SIAM J. Matrix Anal. Appl., July, 1997

1996

Fast Nonsymmetric Iterations and Preconditioning for Navier-Stokes Equations.

Howard C. Elman, David J. Silvester

SIAM J. Sci. Comput., 1996

1995

Algebraic Analysis of the Hierarchical Basis Preconditioner.

Howard C. Elman, Xuejun Zhang

SIAM J. Matrix Anal. Appl., 1995

Use of Linear Algebra Kernels to Build an Efficient Finite Element Solver.

Howard C. Elman, Dennis K.-Y. Lee

Parallel Comput., 1995

1993

Performance Enhancements and Parallel Algorithms for Two Multilevel Preconditioners.

Howard C. Elman, Xian-Zhong Guo

SIAM J. Sci. Comput., 1993

1992

Line Iterative Methods for Cyclically Reduced Discrete Convection-Diffusion Problems.

Howard C. Elman, Gene H. Golub

SIAM J. Sci. Comput., 1992

Parallel Implementation of the hp-Version of the Finite Element Method on a Shared-Memory Architecture.

Ivo Babuska, Howard C. Elman, K. Markley

SIAM J. Sci. Comput., 1992

Parallel sparse Cholesky factorization on a shared memory multiprocessor.

G. Zhang, Howard C. Elman

Parallel Comput., 1992

1989

Fourier Analysis of Iterative Methods for Elliptic pr.

Tony F. Chan, Howard C. Elman

SIAM Rev., 1989