CM2022: 17TH COPPER MOUNTAIN CONFERENCE ON ITERATIVE METHODS

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Abu-Labdeh, Razan	Monolithic Multigrid Methods for Higher-Order Discretizations of Time-Dependent Maxwell’s Equations
Adler, James	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
Ali, Ahsan	Space -Time AMG for Advection - Diffusion
Ambikasaran, Sivaram	A robust preconditioner for Lippmann Schwinger equation in two dimension
An, Hengbin	On constructing a physics-based initial iterate for solving drift-diffusion equations
Anderson, Steven	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
Anistratov, Dmitriy	Iteration Methods for Nonlinear Frequency-Dependent Phonon Transport Problems Nonlinear Iteration Method of Moments with Functional Derivatives for the Linear Boltzmann Transport Equation
Antil, Harbir	Multigrid preconditioning for distributed optimal control of fractional parabolic equations
Arrarás, Andrés	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS
Atkins, Zachary	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
Azulay, Yael	Multigrid-augmented deep learning preconditioners for the Helmholtz equation
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Bankole, Adeleke O	Looking beyond polynomial bases for wave propagation with finite elements
Barra, Valeria	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
Bastian, Peter	Restricted Additive Schwarz Preconditioned Exact Newton with Algebraic Coarse Space
Beams, Natalie	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
Bello-Maldonado, Pedro	Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers
Benzi, Michele	Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem Solving linear systems of the form ($A + \gamma UU^T){\bf x} = {\bf b}$
Bernal, Francisco	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
Berridi, Andrés	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
Bienz, Amanda	Reducing Communication Costs in ECG with Optimal Node Aware Communication
Birken, Philipp	Waveform iterations for thermal coupling
Birken, Philipp	The role of conservative and consistent iterative methods for conservation laws
Bochev, Pavel	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models
Bochev, Pavel	Interface Flux Recovery Framework for Constructing Partitioned Heterogeneous Time-Integration Methods
Boman, Erik	Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments On Iterative Sparse Triangular Solves
Bonilla, Jesus	Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Botchev, Mike	Residual and restarting in Krylov subspace evaluation of the Phi function
Boukhris, Siham	Algebraic multigrid using a stencil-CSR hybrid format on GPUs
Boutet, Nicolas	Quasi-Newton: combining Multi-Secant and Symmetry
Brannick, James J.	Space -Time AMG for Advection - Diffusion
Brenner, Susanne	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients
Brody, Samuel	Investigation of a Preconditioned Conjugate Gradient Method applied to Navier-Stokes Discretizations
Brown, Jed	BDDC Preconditioned P-Multigrid for High-Order Finite Elements Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
Brown, Jed	Looking beyond polynomial bases for wave propagation with finite elements
Brubeck, Pablo	A scalable and robust vertex-star relaxation for high-order FEM
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Carr, Arielle	ILU Smoothers for C-AMG with Scaled Triangular Factors A Warm-Start Krylov-Schur Algorithm for Solving a Sequence of Eigenvalue Problems Post-Modern PM-GMRES
Carson, Erin	Post-Modern PM-GMRES Multistage Mixed Precision Iterative Refinement
Cavanaugh, Casey	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
Chacon, Luis	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method
Chang, Choong-Seock	Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method
Chen, Chao	Solving dense linear systems on the GPU with hierarchical-matrix approximations
Chen, Guangye	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas
Chen, Zhangxing	History Matching Relative Permeability Curves with Bayesian Optimization
Chow, Edmond	Asynchronous Chebyshev Methods
Chow, Edmond	Convergence of GMRES with respect to the right-hand-side vector
Chung, Julianne	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems Sampled Limited-Memory Training (slimTrain) of Separable Deep Neural Networks
Chung, Matthias	Sampled Limited-Memory Training (slimTrain) of Separable Deep Neural Networks
Ciaramella, Gabriele	A new robust collective multigrid SQP-type approach for risk-adverse optimal control problems
Coleman, Evan	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
Connors, Jeffrey	A Discontinuous-Galerkin-in-Time Framework for Multirate Time Integration of Interface-Coupled Problems
Cornelis, Jeffrey	Mixed-precision interior-point method for linear programming problems
Cornelis, Jeffrey	Minimisation of || b-Ax||_max ||b- Ax||_1 with Krylov-Simplex and column generation
Correnty, Siobhan	Flexible infinite GMRES for parameterized linear systems
Cortinovis, Alice	Improved variants of the Hutch++ algorithm for trace estimation.
Cyr, Eric	Learning an Algebraic Multigrid Prolongation Operator Using a Modified Graph Neural Network Architecture A Layer-Parallel Multi-Level Optimization Approach to Training Deep Neural Networks
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Dawn, William	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
Day, Marc	ILU Smoothers for C-AMG with Scaled Triangular Factors
de Castro, Amy	A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models
De Sterck, Hans	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case
De Sterck, Hans	Fast multigrid reduction-in-time for linear advection
de Sturler, Eric	From challenges to edge-preserving methods for large-scale dynamic inverse problems A Warm-Start Krylov-Schur Algorithm for Solving a Sequence of Eigenvalue Problems Golub-Kahan bidiagonalization with hybrid projection for streaming problems
Degroote, Joris	Quasi-Newton: combining Multi-Secant and Symmetry
Delzanno, Gian Luca	Enabling optimizations for reduced kinetic spectral models
Discacciati, Niccolò	Model order reduction for coupled systems
Dorf, Mikhail	Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
Dorr, Milo	Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
Draganescu, Andrei	Multigrid preconditioning for distributed optimal control of fractional parabolic equations
Dudouit, Yohann	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
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Elman, Howard	A Low-Rank Solver for the Stochastic Unsteady Navier-Stokes Equations
Esclapez, Lucas	ILU Smoothers for C-AMG with Scaled Triangular Factors
Espanol, Malena	From challenges to edge-preserving methods for large-scale dynamic inverse problems An ℓp Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems
Evans, Thomas	Evaluation of the Robbins-Monro relaxation scheme for multiphysics coupling with Monte Carlo neutron transport
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Facca, Enrico	Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem
Fairbanks, Hillary	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
Falgout, Robert D.	Space -Time AMG for Advection - Diffusion Fast multigrid reduction-in-time for linear advection
Farrell, Patrick	Augmented Lagrangian preconditioners for incompressible resistive magnetohydrodynamics Monolithic Multigrid Methods for Higher-Order Discretizations of Time-Dependent Maxwell’s Equations A scalable and robust vertex-star relaxation for high-order FEM Newton-Krylov-Multigrid approaches for mixed formulations of smectic A liquid crystals
Fischer, Paul	Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers
Fox, Alyson	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
Franceschini, Andrea	Energy-minimization for Algebraic Multigrid: Robustness and Performance
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Gaiewski, Michael	Air-Sea Light: Coupling a Simple Ocean-Atmosphere Model
Garay, Jose	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients
Gazzola, Silvia	From challenges to edge-preserving methods for large-scale dynamic inverse problems
Ghosh, Debojyoti	Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
Gidisu, Perfect Yayra	A Restricted SVD based CUR Decomposition for matrix triplets
Goldenberg, Steven	Low-Rank Stopping Criteria for Singular Value Decompositions
Gonzalez, Evan	A Parareal Application for a Multilevel Quasi-Static Monte Carlo Neutron Transport Solver
Greaney, P. Alex	Iteration Methods for Nonlinear Frequency-Dependent Phonon Transport Problems
Gropp, William	Reducing Communication Costs in ECG with Optimal Node Aware Communication
Guglielmi, Nicola	On the computation of dominant eigenpairs of a matrix valued linear operator
Gujjula, Vaishnavi	A robust preconditioner for Lippmann Schwinger equation in two dimension
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Haelterman, Rob	Quasi-Newton: combining Multi-Secant and Symmetry
Hallman, Eric	Monte Carlo Estimators for the Diagonals of a Matrix A Multilevel Approach to Stochastic Trace Estimation
Hamdan, Abdalaziz	Newton-Krylov-Multigrid approaches for mixed formulations of smectic A liquid crystals
Hamilton, Steven	Evaluation of the Robbins-Monro relaxation scheme for multiphysics coupling with Monte Carlo neutron transport
Hammer, Hans	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
Harper, Graham	A Matrix-Free Approach for Algebraic Multigrid
He, Yunhui	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case BDDC Preconditioned P-Multigrid for High-Order Finite Elements Novel mass-based multigrid relaxation schemes for the Stokes equations
Heinlein, Alexander	Deep Learning in Adaptive Domain Decomposition Methods A fully algebraic spectral coarse space for overlapping Schwarz methods Adaptive Nonlinear Domain Decomposition Methods
Heister, Timo	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations
Henningsen, Joel	Polynomial Approximation to the Inverse of a Matrix
Hesthaven, Jan S.	Model order reduction for coupled systems
Higgins, Andrew	Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments
Hochbruck, Marlis	Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids
Hochstenbach, Michiel	A Restricted SVD based CUR Decomposition for matrix triplets
Hon, Sean	A sine transform based preconditioner for all-at-once systems from time-dependent PDEs
Hu, Jonathan	Smoothed Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Hu, Xiaozhe	Adaptive algebraic multigrid based on algebraic a posteriori error estimation A stable mimetic finite-difference discretization for convection-dominated diffusion equations
Huang, Andy	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
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Iliescu, Traian	ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
Ipsen, Ilse	Monte Carlo Estimators for the Diagonals of a Matrix
Islam, Mohammad	Accelerating Jacobi Iteration for Solving Nonsymmetric Linear Systems of Equations using Scheduled Relaxation
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Jackaman, James	Preconditioned Iterative Methods for Structure-Preserving Discretisations
Janna, Carlo	Energy-minimization for Algebraic Multigrid: Robustness and Performance
Jarlebring, Elias	Flexible infinite GMRES for parameterized linear systems
Jia, Xiaowei	On constructing a physics-based initial iterate for solving drift-diffusion equations
Jiang, Jiahua	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
Jones, Andrew	Meshfree Geometric Multilevel Methods
Jordan, Kirk E.	History Matching Relative Permeability Curves with Bayesian Optimization
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Kalchev, Delyan	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
Kamthorncharoen, Chaiyod	Restricted Additive Schwarz Preconditioned Exact Newton with Algebraic Coarse Space
Kandappan, V A	A robust preconditioner for Lippmann Schwinger equation in two dimension
Kazeev, Vladimir	Fast and robust multilevel low-rank tensor solvers for elliptic PDEs
Kelley, C.T.	Krylov Linear Solvers and Quasi-Monte Carlo Methods for Transport Simulations Newton's Method in Mixed-Precision
Kiedrowski, Brian	A Parareal Application for a Multilevel Quasi-Static Monte Carlo Neutron Transport Solver
Kim, Jae Youn	Fast algorithms for initial value control problems in diffeomorphic registration
Klawonn, Axel	Deep Learning in Adaptive Domain Decomposition Methods Adaptive Nonlinear Domain Decomposition Methods
Knizhnerman, Leonid	Residual and restarting in Krylov subspace evaluation of the Phi function
Koc, Birgul	ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
Kochunas, Brendan	Practical Considerations for the Adoption of Anderson Acceleration in Nonlinear Diffusion Accelerated Transport
Koehler, Jonas	Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids
Kolev, Tzanio	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
Koshkarov, Oleksandr	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas Enabling optimizations for reduced kinetic spectral models
Kressner, Daniel	On the computation of dominant eigenpairs of a matrix valued linear operator Improved variants of the Hutch++ algorithm for trace estimation.
Kronbichler, Martin	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations
Krzysik, Oliver	Fast multigrid reduction-in-time for linear advection
Krzysik, Oliver A.	Space -Time AMG for Advection - Diffusion
Ku, Seung-Hoe	Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method
Kuberry, Paul	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models Interface Flux Recovery Framework for Constructing Partitioned Heterogeneous Time-Integration Methods
Kumbhar, Pratik Mahadeo	Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids
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Laakmann, Fabian	Augmented Lagrangian preconditioners for incompressible resistive magnetohydrodynamics
Lanser, Martin	Deep Learning in Adaptive Domain Decomposition Methods Adaptive Nonlinear Domain Decomposition Methods
Lee, Chak	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
Lee, Jonghyun	Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
Lepilov, Mikhail	A Multidimensional Proxy Point Method and Its Applications
Leveque, Santolo	Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier-Stokes Control Problems
Li, Yuwen	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
Lin, Junyuan	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
Linders, Viktor	The role of conservative and consistent iterative methods for conservation laws
Lockhart, Shelby	Reducing Communication Costs in ECG with Optimal Node Aware Communication
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MacLachlan, Scott	Learning Aggregates and Interpolation for Algebraic Multigrid Generalizing Reduction-Based Algebraic Multigrid Learning optimized domain decomposition Monolithic Multigrid Methods for Higher-Order Discretizations of Time-Dependent Maxwell’s Equations Preconditioned Iterative Methods for Structure-Preserving Discretisations Newton-Krylov-Multigrid approaches for mixed formulations of smectic A liquid crystals
Mang, Andreas	Fast algorithms for initial value control problems in diffeomorphic registration
Martinsson, Gunnar	Solving dense linear systems on the GPU with hierarchical-matrix approximations
McClarren, Ryan	Krylov Linear Solvers and Quasi-Monte Carlo Methods for Transport Simulations
Mead, Jodi	χ2 Test for TV regularization parameter selection
Meisrimel, Peter	Waveform iterations for thermal coupling
Miedlar, Agnieszka	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
Miller, Scot	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
Mitchell, Lawrence	Augmented Lagrangian preconditioners for incompressible resistive magnetohydrodynamics
Mitchell, Wayne	Performance of Multigrid Reduction in Time (MGRIT) on GPU machines
Monge, Azahar	Waveform iterations for thermal coupling
Montoison, Alexis	GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems
Moore, Nicholas	Learning an Algebraic Multigrid Prolongation Operator Using a Modified Graph Neural Network Architecture
Morgan, Ron	Polynomial Approximation to the Inverse of a Matrix
Morón, Jorge	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
Mou, Changhong	ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
Mullowney, Paul	ILU Smoothers for C-AMG with Scaled Triangular Factors
Munch, Peter	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations
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Natale, Andrea	Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem
Newman, Elizabeth	Sampled Limited-Memory Training (slimTrain) of Separable Deep Neural Networks
Nobile, Fabio	A new robust collective multigrid SQP-type approach for risk-adverse optimal control problems
Nytko, Nicolas	Learning Aggregates and Interpolation for Algebraic Multigrid
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Ohm, Peter	GNNs: An AI/ML metaphor we can use for iterative methods on unstructured meshes Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Oktay, Eda	Multistage Mixed Precision Iterative Refinement
Olson, Luke	Learning Aggregates and Interpolation for Algebraic Multigrid Energy-minimization for Algebraic Multigrid: Robustness and Performance Reducing Communication Costs in ECG with Optimal Node Aware Communication Generalizing Reduction-Based Algebraic Multigrid Learning optimized domain decomposition
Orban, Dominique	GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems
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Pagliantini, Cecilia	Enabling optimizations for reduced kinetic spectral models
Palmer, Todd	Iteration Methods for Nonlinear Frequency-Dependent Phonon Transport Problems
Palmtag, Scott	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
Pasha, Mirjeta	From challenges to edge-preserving methods for large-scale dynamic inverse problems An ℓp Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems
Pasmann, Samuel	Krylov Linear Solvers and Quasi-Monte Carlo Methods for Transport Simulations
Patel, Ravi	A Layer-Parallel Multi-Level Optimization Approach to Training Deep Neural Networks
Patel, Vivak	Residual Tracking and Stopping for Iterative Random Sketching Global Convergence and Stability of Stochastic Gradient Descent
Pearson, John	Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier-Stokes Control Problems
Persson, David	Improved variants of the Hutch++ algorithm for trace estimation.
Peterson, Kara	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares Interface Flux Recovery Framework for Constructing Partitioned Heterogeneous Time-Integration Methods
Pidgeon, Brian	ON PARAMETER CASCADE APPROACH TO SOLVING CONSTRAINED NONLINEAR LEAST SQUARES PROBLEMS WITH APPLICATIONS TO EPIDEMIOLOGY
Ponce, Colin	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
Portero, Laura	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS
Prieto Saavedra, Laura	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations
Pritchard, Nathaniel	Residual Tracking and Stopping for Iterative Random Sketching
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Reese, William	Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
Ricketson, Lee	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
Rodrigo, Carmen	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS
Roytershteyn, Vadim	Enabling optimizations for reduced kinetic spectral models
Rozloznik, Miro	Post-Modern PM-GMRES
Ruthotto, Lars	Sampled Limited-Memory Training (slimTrain) of Separable Deep Neural Networks
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Saibaba, Arvind	From challenges to edge-preserving methods for large-scale dynamic inverse problems Monte Carlo Estimators for the Diagonals of a Matrix Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
Samoil, Steven	History Matching Relative Permeability Curves with Bayesian Optimization
Scalone, Carmela	On the computation of dominant eigenpairs of a matrix valued linear operator
Schroder, Jacob B.	Space -Time AMG for Advection - Diffusion Energy-minimization for Algebraic Multigrid: Robustness and Performance A Layer-Parallel Multi-Level Optimization Approach to Training Deep Neural Networks
Serra-Capizzano, Stefano	A sine transform based preconditioner for all-at-once systems from time-dependent PDEs
Shadid, John	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Shah, Shikhar	Convergence of GMRES with respect to the right-hand-side vector
Shakeri, Rezgar	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
Shalom, Gal	pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
Shankar, Varun	Meshfree Geometric Multilevel Methods
Shen, Qicang	Practical Considerations for the Adoption of Anderson Acceleration in Nonlinear Diffusion Accelerated Transport
Shih, Yuhsuan	AMG-preconditioned primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models
Siefert, Christopher	GNNs: An AI/ML metaphor we can use for iterative methods on unstructured meshes Smoothed Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems Learning an Algebraic Multigrid Prolongation Operator Using a Modified Graph Neural Network Architecture
Simakov, Andrei	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
Smetana, Kathrin	A fully algebraic spectral coarse space for overlapping Schwarz methods
Smirnova, Alexandra	ON PARAMETER CASCADE APPROACH TO SOLVING CONSTRAINED NONLINEAR LEAST SQUARES PROBLEMS WITH APPLICATIONS TO EPIDEMIOLOGY
Sockwell, K. Chad	A Discontinuous-Galerkin-in-Time Framework for Multirate Time Integration of Interface-Coupled Problems Air-Sea Light: Coupling a Simple Ocean-Atmosphere Model Interface Flux Recovery Framework for Constructing Partitioned Heterogeneous Time-Integration Methods
Soodhalter, Kirk	Flexible infinite GMRES for parameterized linear systems
Sosonkina, Masha	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
Southworth, Ben S.	Space -Time AMG for Advection - Diffusion
Stathopoulos, Andreas	Low-Rank Stopping Criteria for Singular Value Decompositions
Stengel, Ren	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
Sturdevant, Benjamin	Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method
Su, Tengfei	A Low-Rank Solver for the Stochastic Unsteady Navier-Stokes Equations
Sung, Li-Yeng	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients
Swirydowicz, Kasia	ILU Smoothers for C-AMG with Scaled Triangular Factors Post-Modern PM-GMRES
Szyld, Daniel	Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments
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Taghibakhshi, Ali	Learning optimized domain decomposition
Tang, Qi	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
Tang, Xian-Zhu	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
Tezaur, Irina	A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models
Thomas, Stephen	ILU Smoothers for C-AMG with Scaled Triangular Factors Post-Modern PM-GMRES
Thompson, Jeremy L	BDDC Preconditioned P-Multigrid for High-Order Finite Elements Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
Thompson, Jeremy L	Looking beyond polynomial bases for wave propagation with finite elements
Todeschi, Gabriele	Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem
Trask, Nat	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
Treister, Eran	Multigrid-augmented deep learning preconditioners for the Helmholtz equation pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
Troester, Devon	A Multilevel Approach to Stochastic Trace Estimation
Tuminaro, Ray	Smoothed Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Tyrtyshnikov, Eugene	Residual and restarting in Krylov subspace evaluation of the Phi function
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Valiakhmetov, Bulat	GCR equivalent multiple right-hand side GMRES
Vanroose, Wim	Minimisation of || b-Ax||_max ||b- Ax||_1 with Krylov-Simplex and column generation Mixed-precision interior-point method for linear programming problems
Vanzan, Tommaso	A new robust collective multigrid SQP-type approach for risk-adverse optimal control problems
Vargas, David	Toward Parallel in Time for Chaotic Dynamical Systems
Vassilevski, Panayot	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
Vogl, Christopher	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
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Wang, Qiqi	Accelerating Jacobi Iteration for Solving Nonsymmetric Linear Systems of Equations using Scheduled Relaxation
Weber, Janine	Deep Learning in Adaptive Domain Decomposition Methods
West, Matthew	Learning Aggregates and Interpolation for Algebraic Multigrid Generalizing Reduction-Based Algebraic Multigrid Learning optimized domain decomposition
Whitman, Nicholas	Iteration Methods for Nonlinear Frequency-Dependent Phonon Transport Problems
Wolfson Pou, Jordi	Asynchronous Chebyshev Methods
Wright, Grady	Meshfree Geometric Multilevel Methods
Wu, Kaiyi	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
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Xia, Jianlin	Eigenvalue solution via the use of a single random vector
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Yavneh, Irad	pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
Yetkin, E. Fatih	Efficient estimation of the intrinsic dimension via Ritz values and orthogonal polynomials
Yücel, Hamdullah	Solving Optimal Control Problems Containing Uncertain Coefficients with Stochastic Discontinuous Galerkin Methods
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Zaman, Tareq Uz	Generalizing Reduction-Based Algebraic Multigrid
Zaratiegui, Javier	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS
Zheltkov, Dmitry	GCR equivalent multiple right-hand side GMRES
Zikatanov, Ludmil	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
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Çiloğlu, Pelin	Solving Optimal Control Problems Containing Uncertain Coefficients with Stochastic Discontinuous Galerkin Methods
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Özçoban, Kadir	Efficient estimation of the intrinsic dimension via Ritz values and orthogonal polynomials

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