CM2022: 17TH COPPER MOUNTAIN CONFERENCE ON ITERATIVE METHODS

This page contains an index consisting of author-provided keywords.

A
a posteriori error estimate	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
adaptive algebraic multigrid	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
adaptive algorithms	Multistage Mixed Precision Iterative Refinement
adaptive coarse spaces	A fully algebraic spectral coarse space for overlapping Schwarz methods
adaptive domain decomposition methods	Deep Learning in Adaptive Domain Decomposition Methods
adaptive mesh refinement	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
additive Schwarz	A scalable and robust vertex-star relaxation for high-order FEM
advection	Fast multigrid reduction-in-time for linear advection
advection-diffusion	Accelerating Jacobi Iteration for Solving Nonsymmetric Linear Systems of Equations using Scheduled Relaxation
aggregation	Learning Aggregates and Interpolation for Algebraic Multigrid
algebraic multigrid	A Matrix-Free Approach for Algebraic Multigrid Learning an Algebraic Multigrid Prolongation Operator Using a Modified Graph Neural Network Architecture Smoothed Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems Space -Time AMG for Advection - Diffusion Learning Aggregates and Interpolation for Algebraic Multigrid Generalizing Reduction-Based Algebraic Multigrid Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations Energy-minimization for Algebraic Multigrid: Robustness and Performance
algebraic multigrid (AMG)	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
algebraic preconditioner	A fully algebraic spectral coarse space for overlapping Schwarz methods
algorithmic resilience	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software
all-at-once discretization	A sine transform based preconditioner for all-at-once systems from time-dependent PDEs
All-in-one solvers	A Low-Rank Solver for the Stochastic Unsteady Navier-Stokes Equations
AMG (algebraic multigrid)	Algebraic multigrid using a stencil-CSR hybrid format on GPUs
AMG-preconditioned Krylov	AMG-preconditioned primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models
AMGe	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
analytic compression	A Multidimensional Proxy Point Method and Its Applications
Anderson acceleration	Iteration Methods for Nonlinear Frequency-Dependent Phonon Transport Problems Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case Practical Considerations for the Adoption of Anderson Acceleration in Nonlinear Diffusion Accelerated Transport
Arnoldi expansion	Post-Modern PM-GMRES
artificial intelligence	GNNs: An AI/ML metaphor we can use for iterative methods on unstructured meshes
asymptotic-preserving	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas
asynchronous	Asynchronous Chebyshev Methods On Iterative Sparse Triangular Solves
asynchronous iterative linear solver	The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
asynchronous iterative methods	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
asynchronous Jacobi method	Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay
Asynchronous methods	Waveform iterations for thermal coupling
augmented lagrangian	Solving linear systems of the form ($A + \gamma UU^T){\bf x} = {\bf b}$ Augmented Lagrangian preconditioners for incompressible resistive magnetohydrodynamics
B
Backward Error	Newton's Method in Mixed-Precision
backward stability	Post-Modern PM-GMRES
batched GEMM	Solving dense linear systems on the GPU with hierarchical-matrix approximations
Bayesian inverse problems	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
Bayesian Optimization	History Matching Relative Permeability Curves with Bayesian Optimization
BDDC	Deep Learning in Adaptive Domain Decomposition Methods
Biot Equations	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS
block GMRES	Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments
Block Krylov Subspace methods	Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments
Block preconditioners	Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
block Toeplitz systems	A sine transform based preconditioner for all-at-once systems from time-dependent PDEs
block vector	Reducing Communication Costs in ECG with Optimal Node Aware Communication
block-structured relaxation	Novel mass-based multigrid relaxation schemes for the Stokes equations
Boltzmann transport equation	Iteration Methods for Nonlinear Frequency-Dependent Phonon Transport Problems Nonlinear Iteration Method of Moments with Functional Derivatives for the Linear Boltzmann Transport Equation
C
C-AMG smoothers	ILU Smoothers for C-AMG with Scaled Triangular Factors
canonical correlation analysis	A Restricted SVD based CUR Decomposition for matrix triplets
chaos	Toward Parallel in Time for Chaotic Dynamical Systems
Chebyshev	Asynchronous Chebyshev Methods
Chebyshev approximation	A Multilevel Approach to Stochastic Trace Estimation
Chebyshev polynomials	Efficient estimation of the intrinsic dimension via Ritz values and orthogonal polynomials
Cholesky factorization	Mixed-precision interior-point method for linear programming problems
climate	Interface Flux Recovery Framework for Constructing Partitioned Heterogeneous Time-Integration Methods A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares
Closures	ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
coarsening quality	Energy-minimization for Algebraic Multigrid: Robustness and Performance
collaborative autonomy	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software
collective multigrid	A new robust collective multigrid SQP-type approach for risk-adverse optimal control problems
companion linearization	Flexible infinite GMRES for parameterized linear systems
Concentration Inequalities	Monte Carlo Estimators for the Diagonals of a Matrix
conformal mapping	Looking beyond polynomial bases for wave propagation with finite elements
conjugate gradient method	The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method Investigation of a Preconditioned Conjugate Gradient Method applied to Navier-Stokes Discretizations
Conjugate heat transfer	Waveform iterations for thermal coupling
Conservation laws	Preconditioned Iterative Methods for Structure-Preserving Discretisations
conservative	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas
Consistency and inconsistency	The role of conservative and consistent iterative methods for conservation laws
Constrained Optimization	ON PARAMETER CASCADE APPROACH TO SOLVING CONSTRAINED NONLINEAR LEAST SQUARES PROBLEMS WITH APPLICATIONS TO EPIDEMIOLOGY
continuous finite element	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
convection-diffusion problems	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
convergence acceleration	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case
Convolutional Neural Networks	Multigrid-augmented deep learning preconditioners for the Helmholtz equation
coupled models	Air-Sea Light: Coupling a Simple Ocean-Atmosphere Model
Coupled systems	Model order reduction for coupled systems
Coupling	Interface Flux Recovery Framework for Constructing Partitioned Heterogeneous Time-Integration Methods
Credible Interval	Residual Tracking and Stopping for Iterative Random Sketching
CUR decomposition	A Restricted SVD based CUR Decomposition for matrix triplets
D
data corruption and delay	The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay
data-driven discretization	Fast and robust multilevel low-rank tensor solvers for elliptic PDEs
Data-Driven Modeling	ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
Deblurring	From challenges to edge-preserving methods for large-scale dynamic inverse problems
decentralized computing	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software
deep learning	Deep Learning in Adaptive Domain Decomposition Methods Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Deep Neural Networks	Sampled Limited-Memory Training (slimTrain) of Separable Deep Neural Networks
deflated conjugate gradient	Energy-minimization for Algebraic Multigrid: Robustness and Performance
DEIM	A Restricted SVD based CUR Decomposition for matrix triplets
diffusion synthetic acceleration	Iteration Methods for Nonlinear Frequency-Dependent Phonon Transport Problems
Dimensionality Reduction	Efficient estimation of the intrinsic dimension via Ritz values and orthogonal polynomials
Dirichlet-Neumann method	Waveform iterations for thermal coupling
discrepancy principle	χ2 Test for TV regularization parameter selection
dispersion	Looking beyond polynomial bases for wave propagation with finite elements
distance laplacian	A Matrix-Free Approach for Algebraic Multigrid
Domain decomposition	BDDC Preconditioned P-Multigrid for High-Order Finite Elements A fully algebraic spectral coarse space for overlapping Schwarz methods Learning optimized domain decomposition A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale Model order reduction for coupled systems Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers
Domain Decomposition based pre-conditioner	A robust preconditioner for Lippmann Schwinger equation in two dimension
Domain Decomposition Methods	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients
Drift-diffusion equations	On constructing a physics-based initial iterate for solving drift-diffusion equations
Dynamic inverse problem	From challenges to edge-preserving methods for large-scale dynamic inverse problems
E
earth system models	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares
Eddington factor	Nonlinear Iteration Method of Moments with Functional Derivatives for the Linear Boltzmann Transport Equation
Edge-preservation	From challenges to edge-preserving methods for large-scale dynamic inverse problems
eigensolver	Eigenvalue solution via the use of a single random vector
eigenvalue detection	Eigenvalue solution via the use of a single random vector
elliptic partial differential equations (PDE)	Meshfree Geometric Multilevel Methods
energy minimization prolongation	Energy-minimization for Algebraic Multigrid: Robustness and Performance
Epidemiology	ON PARAMETER CASCADE APPROACH TO SOLVING CONSTRAINED NONLINEAR LEAST SQUARES PROBLEMS WITH APPLICATIONS TO EPIDEMIOLOGY
evolutionary	Learning Aggregates and Interpolation for Algebraic Multigrid
exponential fitting	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
exponential residual	Residual and restarting in Krylov subspace evaluation of the Phi function
exponential time integration	Residual and restarting in Krylov subspace evaluation of the Phi function
F
fast direct solver	Solving dense linear systems on the GPU with hierarchical-matrix approximations
FEM	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
FETI-DP	Deep Learning in Adaptive Domain Decomposition Methods Adaptive Nonlinear Domain Decomposition Methods
Feynman-Kac	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
finite element	Looking beyond polynomial bases for wave propagation with finite elements
Finite Element Method	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
finite-element computations	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations
fixed-point methods	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case
Flexible GMRES	Preconditioned Iterative Methods for Structure-Preserving Discretisations
flexible methods	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
flexible preconditioning	Flexible infinite GMRES for parameterized linear systems
fractional parabolic equations	Multigrid preconditioning for distributed optimal control of fractional parabolic equations
fusion	Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
G
Gateaux derivative	Nonlinear Iteration Method of Moments with Functional Derivatives for the Linear Boltzmann Transport Equation
GCR	GCR equivalent multiple right-hand side GMRES
generalized Golub-Kahan	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
generalized moving least squares	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares
genetic algorithm	Learning Aggregates and Interpolation for Algebraic Multigrid
Global and local conservation	The role of conservative and consistent iterative methods for conservation laws
global coarsening	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations
Global Convergence	Global Convergence and Stability of Stochastic Gradient Descent
GMRES	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments Convergence of GMRES with respect to the right-hand-side vector Multistage Mixed Precision Iterative Refinement GCR equivalent multiple right-hand side GMRES
Golub-Kahan Bidiagonalization	Golub-Kahan bidiagonalization with hybrid projection for streaming problems
GPU	Performance of Multigrid Reduction in Time (MGRIT) on GPU machines Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers
GPU (graphical processing units)	Algebraic multigrid using a stencil-CSR hybrid format on GPUs
GPU acceleration	ILU Smoothers for C-AMG with Scaled Triangular Factors
GPU algorithm	Solving dense linear systems on the GPU with hierarchical-matrix approximations
GPU-Accelerated	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
GPUs	A Matrix-Free Approach for Algebraic Multigrid Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments
graph Laplacian	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
graph network	Learning Aggregates and Interpolation for Algebraic Multigrid
graph neural network	GNNs: An AI/ML metaphor we can use for iterative methods on unstructured meshes
Graph Neural Networks	Learning an Algebraic Multigrid Prolongation Operator Using a Modified Graph Neural Network Architecture Learning optimized domain decomposition
Graphical LASSO	pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
graphnet	Learning Aggregates and Interpolation for Algebraic Multigrid
gyrokinetic	Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
H
Helmholtz decomposition	Adaptive algebraic multigrid based on algebraic a posteriori error estimation
Helmholtz equation	Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Heterogeneous Time-stepping	Interface Flux Recovery Framework for Constructing Partitioned Heterogeneous Time-Integration Methods
hierarchical matrices	A robust preconditioner for Lippmann Schwinger equation in two dimension A Multidimensional Proxy Point Method and Its Applications
hierarchical matrix	Solving dense linear systems on the GPU with hierarchical-matrix approximations
high performance computing	Reducing Communication Costs in ECG with Optimal Node Aware Communication
High-order	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures A scalable and robust vertex-star relaxation for high-order FEM
high-order methods	Meshfree Geometric Multilevel Methods
history matching	History Matching Relative Permeability Curves with Bayesian Optimization
HOLO	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
HPC	Performance of Multigrid Reduction in Time (MGRIT) on GPU machines Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers
Hutchinson's trace estimator	A Multilevel Approach to Stochastic Trace Estimation
hybrid methods	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
Hybrid Regularization	Golub-Kahan bidiagonalization with hybrid projection for streaming problems
hyperbolic	Fast multigrid reduction-in-time for linear advection
Hyperbolic conservation laws	The role of conservative and consistent iterative methods for conservation laws
I
ICF	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
IMEX	Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
Implicit	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas
Implicit Methods	Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method
Implicit Runge-Kutta	Monolithic Multigrid Methods for Higher-Order Discretizations of Time-Dependent Maxwell’s Equations
Incompressible flow	A Low-Rank Solver for the Stochastic Unsteady Navier-Stokes Equations
Indefinite systems	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients
infinite Arnoldi	Flexible infinite GMRES for parameterized linear systems
initial iterate	On constructing a physics-based initial iterate for solving drift-diffusion equations
inner stopping criteria	Flexible infinite GMRES for parameterized linear systems
Interior point methods	Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem
interior-point method	Mixed-precision interior-point method for linear programming problems
interpolation	Learning Aggregates and Interpolation for Algebraic Multigrid
Intrinsic dimension estimation	Efficient estimation of the intrinsic dimension via Ritz values and orthogonal polynomials
inverse problems	Golub-Kahan bidiagonalization with hybrid projection for streaming problems Minimisation of || b-Ax||_max ||b- Ax||_1 with Krylov-Simplex and column generation Fast algorithms for initial value control problems in diffeomorphic registration Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
Isogeometric Analysis	Investigation of a Preconditioned Conjugate Gradient Method applied to Navier-Stokes Discretizations
iterative linear solver	Asynchronous Jacobi Methods with Resilience to Data Corruption and Robustness to Data Delay
Iterative Methods	Golub-Kahan bidiagonalization with hybrid projection for streaming problems GNNs: An AI/ML metaphor we can use for iterative methods on unstructured meshes Sampled Limited-Memory Training (slimTrain) of Separable Deep Neural Networks Meshfree Geometric Multilevel Methods ON PARAMETER CASCADE APPROACH TO SOLVING CONSTRAINED NONLINEAR LEAST SQUARES PROBLEMS WITH APPLICATIONS TO EPIDEMIOLOGY GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems
iterative methods for linear systems	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case
Iterative Methods for Neural Networks	Sampled Limited-Memory Training (slimTrain) of Separable Deep Neural Networks A Layer-Parallel Multi-Level Optimization Approach to Training Deep Neural Networks
Iterative Randomized Solver	Residual Tracking and Stopping for Iterative Random Sketching
iterative refinement	Multistage Mixed Precision Iterative Refinement
Iterative solution methods	Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Iterative solver	GCR equivalent multiple right-hand side GMRES
Iterative solvers	Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
iterative triangular solvers	ILU Smoothers for C-AMG with Scaled Triangular Factors
J
Jacobi Iteration	Accelerating Jacobi Iteration for Solving Nonsymmetric Linear Systems of Equations using Scheduled Relaxation
Johnson-Lindenstrauss	Residual Tracking and Stopping for Iterative Random Sketching
K
kernel-capturing multigrid	Augmented Lagrangian preconditioners for incompressible resistive magnetohydrodynamics
kinetic plasma model	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
Krylov methods	Polynomial Approximation to the Inverse of a Matrix Krylov Linear Solvers and Quasi-Monte Carlo Methods for Transport Simulations Flexible infinite GMRES for parameterized linear systems An ℓp Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems ILU Smoothers for C-AMG with Scaled Triangular Factors
Krylov Recycling	Golub-Kahan bidiagonalization with hybrid projection for streaming problems
Krylov solvers	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures
Krylov space methods	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case
Krylov subspace method	The Algorithmic Development of a Fully Asynchronous Conjugate Gradient Method
Krylov subspace methods	Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments Residual and restarting in Krylov subspace evaluation of the Phi function A sine transform based preconditioner for all-at-once systems from time-dependent PDEs Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids Post-Modern PM-GMRES Reducing Communication Costs in ECG with Optimal Node Aware Communication Mixed-precision interior-point method for linear programming problems
Krylov Subspace Recycling	A Warm-Start Krylov-Schur Algorithm for Solving a Sequence of Eigenvalue Problems
Krylov subspaces	GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems
Krylov-Schur	A Warm-Start Krylov-Schur Algorithm for Solving a Sequence of Eigenvalue Problems
L
Lagrange multipliers	A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models
learning multigrid	Learning Aggregates and Interpolation for Algebraic Multigrid
Level set method	Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
linear equations	Polynomial Approximation to the Inverse of a Matrix
linear Maxwell equatios	Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids
Linear operators	On the computation of dominant eigenpairs of a matrix valued linear operator
linear programming	Mixed-precision interior-point method for linear programming problems
linear solvers	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations Accelerating Jacobi Iteration for Solving Nonsymmetric Linear Systems of Equations using Scheduled Relaxation
Lippmann Schwinger Equation	A robust preconditioner for Lippmann Schwinger equation in two dimension
Liquid Crystals	Newton-Krylov-Multigrid approaches for mixed formulations of smectic A liquid crystals
local Fourier analysis	Looking beyond polynomial bases for wave propagation with finite elements BDDC Preconditioned P-Multigrid for High-Order Finite Elements Novel mass-based multigrid relaxation schemes for the Stokes equations
local smoothing	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations
localization	AMG-preconditioned primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models
Localized Orthogonal Decomposition Method	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients
locally implicit method	Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids
locally refined spatial grids	Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids
Logically Rectangular Grid	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS
loss of orthogonality	Post-Modern PM-GMRES
Low Rank Approximation	Low-Rank Stopping Criteria for Singular Value Decompositions Improved variants of the Hutch++ algorithm for trace estimation.
low-rank approximation	Solving dense linear systems on the GPU with hierarchical-matrix approximations A Restricted SVD based CUR Decomposition for matrix triplets A Multidimensional Proxy Point Method and Its Applications Fast and robust multilevel low-rank tensor solvers for elliptic PDEs
Low-rank approximations	Solving Optimal Control Problems Containing Uncertain Coefficients with Stochastic Discontinuous Galerkin Methods
Low-rank methods	A Low-Rank Solver for the Stochastic Unsteady Navier-Stokes Equations
low-rank tensors	Fast and robust multilevel low-rank tensor solvers for elliptic PDEs
low-synchronization algorithms	Post-Modern PM-GMRES
lp norms	An ℓp Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems
M
machine learning	GNNs: An AI/ML metaphor we can use for iterative methods on unstructured meshes Deep Learning in Adaptive Domain Decomposition Methods Learning Aggregates and Interpolation for Algebraic Multigrid Learning optimized domain decomposition A Layer-Parallel Multi-Level Optimization Approach to Training Deep Neural Networks
magnetized plasma	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas
magnetohydrodynamics	Augmented Lagrangian preconditioners for incompressible resistive magnetohydrodynamics
mass matrix	Novel mass-based multigrid relaxation schemes for the Stokes equations
matrix exponential	Residual and restarting in Krylov subspace evaluation of the Phi function
matrix inverse	Polynomial Approximation to the Inverse of a Matrix
matrix-free	A Matrix-Free Approach for Algebraic Multigrid
matrix-free methods	A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
meshfree methods	Meshfree Geometric Multilevel Methods
MFEM	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
MHD	Block Preconditioning and a Monolithic AMG Method for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Microreactor	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
mimetic finite differences	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
MINRES	A sine transform based preconditioner for all-at-once systems from time-dependent PDEs
mixed precision	Multistage Mixed Precision Iterative Refinement
Mixed-Precision Arithmetic	Newton's Method in Mixed-Precision
mixed-precision computing	Mixed-precision interior-point method for linear programming problems
Model order reduction for dynamical systems	Model order reduction for coupled systems
Monolithic multigrid	Newton-Krylov-Multigrid approaches for mixed formulations of smectic A liquid crystals Monolithic Multigrid Methods for Higher-Order Discretizations of Time-Dependent Maxwell’s Equations
monotone scheme	A stable mimetic finite-difference discretization for convection-dominated diffusion equations
Monte Carlo	Evaluation of the Robbins-Monro relaxation scheme for multiphysics coupling with Monte Carlo neutron transport A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale A Parareal Application for a Multilevel Quasi-Static Monte Carlo Neutron Transport Solver
Monte Carlo methods	Monte Carlo Estimators for the Diagonals of a Matrix
MPACT	Practical Considerations for the Adoption of Anderson Acceleration in Nonlinear Diffusion Accelerated Transport
multi-scale	An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas
multi-secant	Quasi-Newton: combining Multi-Secant and Symmetry
multi-view learning	A Restricted SVD based CUR Decomposition for matrix triplets
multidomain	A Discontinuous-Galerkin-in-Time Framework for Multirate Time Integration of Interface-Coupled Problems
multigrid	A Matrix-Free Approach for Algebraic Multigrid Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures Multigrid preconditioning for distributed optimal control of fractional parabolic equations BDDC Preconditioned P-Multigrid for High-Order Finite Elements A comparative study of global coarsening and local smoothing multigrid methods on locally refined meshes for distributed matrix-free FEM computations Asynchronous Chebyshev Methods Meshfree Geometric Multilevel Methods Novel mass-based multigrid relaxation schemes for the Stokes equations Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers Fast multigrid reduction-in-time for linear advection Toward Parallel in Time for Chaotic Dynamical Systems Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Multigrid Method	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS Investigation of a Preconditioned Conjugate Gradient Method applied to Navier-Stokes Discretizations
Multigrid methods	A Layer-Parallel Multi-Level Optimization Approach to Training Deep Neural Networks
multigrid reduction in time (MGRIT)	Performance of Multigrid Reduction in Time (MGRIT) on GPU machines
multigrid-in-time	Toward Parallel in Time for Chaotic Dynamical Systems
multilevel iteration methods	Nonlinear Iteration Method of Moments with Functional Derivatives for the Linear Boltzmann Transport Equation
multilevel methods	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
Multilevel Monte Carlo	A Multilevel Approach to Stochastic Trace Estimation
multilevel Monte Carlo (MLMC)	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
multilevel preconditioners	Fast and robust multilevel low-rank tensor solvers for elliptic PDEs
Multiphysics	Evaluation of the Robbins-Monro relaxation scheme for multiphysics coupling with Monte Carlo neutron transport Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
multiphysics coupling	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
Multiple rhs	GCR equivalent multiple right-hand side GMRES
multiple right hand sides	Optimal Size of the Block in Block GMRES on GPUs: Computational Model and Experiments
multirate	A Discontinuous-Galerkin-in-Time Framework for Multirate Time Integration of Interface-Coupled Problems
multiscale	Enabling optimizations for reduced kinetic spectral models
Multiscale Finite Elements	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients
multivariate interpolation	Meshfree Geometric Multilevel Methods
N
Navier-Stokes equations	Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier-Stokes Control Problems
Neutron Transport	Evaluation of the Robbins-Monro relaxation scheme for multiphysics coupling with Monte Carlo neutron transport Krylov Linear Solvers and Quasi-Monte Carlo Methods for Transport Simulations A Parareal Application for a Multilevel Quasi-Static Monte Carlo Neutron Transport Solver Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures Practical Considerations for the Adoption of Anderson Acceleration in Nonlinear Diffusion Accelerated Transport
Newton's method	Restricted Additive Schwarz Preconditioned Exact Newton with Algebraic Coarse Space Newton's Method in Mixed-Precision
Newton--Krylov methods	Fast algorithms for initial value control problems in diffeomorphic registration
Newton-Krylov-multigrid methods	Newton-Krylov-Multigrid approaches for mixed formulations of smectic A liquid crystals
Non-linear elliptic BVP	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
Nonlinear Diffusion Acceleration	Practical Considerations for the Adoption of Anderson Acceleration in Nonlinear Diffusion Accelerated Transport
Nonlinear Domain Decomposition Methods	Adaptive Nonlinear Domain Decomposition Methods
nonlinear iteration	On constructing a physics-based initial iterate for solving drift-diffusion equations
Nonlinear iterative solvers	Adaptive Nonlinear Domain Decomposition Methods
nonlinear optimization	A new robust collective multigrid SQP-type approach for risk-adverse optimal control problems
nonlinear preconditioning	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case Restricted Additive Schwarz Preconditioned Exact Newton with Algebraic Coarse Space
nonlinear projection	Nonlinear Iteration Method of Moments with Functional Derivatives for the Linear Boltzmann Transport Equation
nonlinear solver	Restricted Additive Schwarz Preconditioned Exact Newton with Algebraic Coarse Space
Nonlinear Solvers	ON PARAMETER CASCADE APPROACH TO SOLVING CONSTRAINED NONLINEAR LEAST SQUARES PROBLEMS WITH APPLICATIONS TO EPIDEMIOLOGY
nonlinear system solvers	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case
nonpolynomial bases	Looking beyond polynomial bases for wave propagation with finite elements
Nonsymmetric linear systems	Convergence of GMRES with respect to the right-hand-side vector
numerical simulation	History Matching Relative Permeability Curves with Bayesian Optimization
O
ocean-atmosphere	Air-Sea Light: Coupling a Simple Ocean-Atmosphere Model
ODEs on low-rank manifolds	On the computation of dominant eigenpairs of a matrix valued linear operator
Optimal Control	Multiscale Finite Element Methods for an Elliptic Optimal Control Problem with Rough Coefficients Fast algorithms for initial value control problems in diffeomorphic registration
optimal local approximation spaces	A fully algebraic spectral coarse space for overlapping Schwarz methods
Optimal Transport Problem	Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem
optimization	Linear Asymptotic Convergence Analysis of Anderson Acceleration, with Krylov Formulation in the Linear Case
orthogonal Hessenberg reduction	GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems
Overlapping Schwarz	Adaptive Nonlinear Domain Decomposition Methods
overlapping Schwarz methods	A fully algebraic spectral coarse space for overlapping Schwarz methods
P
parallel communication	Reducing Communication Costs in ECG with Optimal Node Aware Communication
parallel computing	On Iterative Sparse Triangular Solves
parallel in time	Performance of Multigrid Reduction in Time (MGRIT) on GPU machines Fast multigrid reduction-in-time for linear advection
parallel performance	Performance of Multigrid Reduction in Time (MGRIT) on GPU machines
parallel-in-time	Space -Time AMG for Advection - Diffusion A sine transform based preconditioner for all-at-once systems from time-dependent PDEs Toward Parallel in Time for Chaotic Dynamical Systems
parameterized linear systems	Flexible infinite GMRES for parameterized linear systems
Parareal	A Parareal Application for a Multilevel Quasi-Static Monte Carlo Neutron Transport Solver
partial differential equations	Accelerating Jacobi Iteration for Solving Nonsymmetric Linear Systems of Equations using Scheduled Relaxation
Particle-in-Cell	Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method
partitioned schemes	A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models
PDE-constrained optimization	Multigrid preconditioning for distributed optimal control of fractional parabolic equations Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem Solving Optimal Control Problems Containing Uncertain Coefficients with Stochastic Discontinuous Galerkin Methods Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier-Stokes Control Problems
PDEs on surfaces	Meshfree Geometric Multilevel Methods
phi matrix function	Residual and restarting in Krylov subspace evaluation of the Phi function
Physics-Based Preconditioning	Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
plasma	Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas
Plasma Physics	Fluid Preconditioning for a Fully Implicit Electromagnetic Gyrokinetic Particle-in-Cell Method
plasmoid instability	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
PN junction	On constructing a physics-based initial iterate for solving drift-diffusion equations
Poisson	Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers
polynomial bases	Looking beyond polynomial bases for wave propagation with finite elements
Polynomial preconditioning	Convergence of GMRES with respect to the right-hand-side vector
Poroelasticity	A MULTIGRID METHOD FOR THE BIOT’S MODEL ON LOGICALLY RECTANGULAR GRIDS
Powell-Symmetric-Broyden	Quasi-Newton: combining Multi-Secant and Symmetry
precoditioning	Preconditioning for linear systems arising in implicit time integration schemes for Maxwell equations on locally refined spatial grids
Preconditioned Iterative Methods	Monte Carlo Estimators for the Diagonals of a Matrix
preconditioned Krylov subspace methods	Eigenvalue solution via the use of a single random vector
preconditioner	Polynomial Reduction with Full Domain Decomposition Preconditioner for Spectral Element Poisson Solvers
Preconditioning	Efficient multigrid methods for high-order nonlinear solid mechanics on emerging architectures Block Preconditioning of a Semi-Implicit Gyrokinetic Model of Fusion Plasmas Solving linear systems of the form ($A + \gamma UU^T){\bf x} = {\bf b}$ Mixed-precision interior-point method for linear programming problems Fast algorithms for initial value control problems in diffeomorphic registration Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier-Stokes Control Problems A scalable and robust vertex-star relaxation for high-order FEM Investigation of a Preconditioned Conjugate Gradient Method applied to Navier-Stokes Discretizations pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
pressure projection	ILU Smoothers for C-AMG with Scaled Triangular Factors
Probabilistic Rounding Analysis	Newton's Method in Mixed-Precision
Prolongation	Learning an Algebraic Multigrid Prolongation Operator Using a Modified Graph Neural Network Architecture
Proximal Methods	pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
Pseudospectra	Convergence of GMRES with respect to the right-hand-side vector
Q
Quasi Static	A Parareal Application for a Multilevel Quasi-Static Monte Carlo Neutron Transport Solver
Quasi-Monte Carlo	Krylov Linear Solvers and Quasi-Monte Carlo Methods for Transport Simulations
Quasi-Newton	Quasi-Newton: combining Multi-Secant and Symmetry
R
Rademacher Random Vectors	Monte Carlo Estimators for the Diagonals of a Matrix
radial basis functions(RBF)	Meshfree Geometric Multilevel Methods
radiation transport	Beyond radiation-hydrodynamics: Coupling kinetic plasma and radiation transport
Randomised numerical linear algebra	Improved variants of the Hutch++ algorithm for trace estimation.
randomization	Eigenvalue solution via the use of a single random vector
randomized eigensolvers	A fully algebraic spectral coarse space for overlapping Schwarz methods
randomized solvers	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
Rank Structured Matrices	A robust preconditioner for Lippmann Schwinger equation in two dimension
RASPEN	Restricted Additive Schwarz Preconditioned Exact Newton with Algebraic Coarse Space
redistribution	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Monte Carlo
Reduced Order Models	A Lagrange Multiplier Partitioned Scheme for Coupling Reduced Order Models ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
Reduction-Based Multigrid	Generalizing Reduction-Based Algebraic Multigrid
Regularization	From challenges to edge-preserving methods for large-scale dynamic inverse problems An ℓp Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems χ2 Test for TV regularization parameter selection
remap	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares
repeated domain partitioning	Eigenvalue solution via the use of a single random vector
reservoir simulation	History Matching Relative Permeability Curves with Bayesian Optimization
Residual Estimation	Residual Tracking and Stopping for Iterative Random Sketching
resilient computing	Resilient Algorithmic Building Blocks for Decentralized Iterative Computing in the Skynet Software
restarting	Residual and restarting in Krylov subspace evaluation of the Phi function
restricted additive Schwarz	Restricted Additive Schwarz Preconditioned Exact Newton with Algebraic Coarse Space
Restricted SVD	A Restricted SVD based CUR Decomposition for matrix triplets
Rightmost eigenmatrices	On the computation of dominant eigenpairs of a matrix valued linear operator
risk-adverse optimal control under uncertainty conditional value at risk	A new robust collective multigrid SQP-type approach for risk-adverse optimal control problems
Ritz values	Efficient estimation of the intrinsic dimension via Ritz values and orthogonal polynomials
S
Saddle point linear system	Iterative methods for interior point algorithms in the $L^2$ Optimal Transport Problem
Saddle-point problems	Solving linear systems of the form ($A + \gamma UU^T){\bf x} = {\bf b}$
Saddle-point systems	Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier-Stokes Control Problems
Scharfetter-Gummel scheme	On constructing a physics-based initial iterate for solving drift-diffusion equations
sea-ice	AMG-preconditioned primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models
Sequence of Eigenvalue Problems	A Warm-Start Krylov-Schur Algorithm for Solving a Sequence of Eigenvalue Problems
sequentially quadratic programming	A new robust collective multigrid SQP-type approach for risk-adverse optimal control problems
shallow water equations	Air-Sea Light: Coupling a Simple Ocean-Atmosphere Model
Shifted Laplace preconditioner	Multigrid-augmented deep learning preconditioners for the Helmholtz equation
shifted linear systems	Flexible infinite GMRES for parameterized linear systems
sine transform based preconditioners	A sine transform based preconditioner for all-at-once systems from time-dependent PDEs
Singular Value Decomposition	Low-Rank Stopping Criteria for Singular Value Decompositions
smoothed aggregation	A Matrix-Free Approach for Algebraic Multigrid Learning Aggregates and Interpolation for Algebraic Multigrid
smoothed aggregation multigrid	Smoothed Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems
solution transfer	Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares
space-time finite element methods	Multigrid preconditioning for distributed optimal control of fractional parabolic equations
space-time multigrid	Space -Time AMG for Advection - Diffusion
Sparse Approximate Inverse	Generalizing Reduction-Based Algebraic Multigrid
sparse Cholesky	A scalable and robust vertex-star relaxation for high-order FEM
sparse matrix	Reducing Communication Costs in ECG with Optimal Node Aware Communication
sparse matrix format	Algebraic multigrid using a stencil-CSR hybrid format on GPUs
Sparse precision matrix estimation	pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
sparse reconstruction	Minimisation of || b-Ax||_max ||b- Ax||_1 with Krylov-Simplex and column generation
Sparse System	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
sparse triangular solves	On Iterative Sparse Triangular Solves
Spectral abscissa	On the computation of dominant eigenpairs of a matrix valued linear operator
Spectral function	A Multilevel Approach to Stochastic Trace Estimation
spectral methods	Enabling optimizations for reduced kinetic spectral models
Stability	Global Convergence and Stability of Stochastic Gradient Descent
Stabilizations	ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
staggered finite-difference method	Novel mass-based multigrid relaxation schemes for the Stokes equations
stationary solvers	Dynamic Non-Uniform Randomization in Asynchronous Linear Solvers
stencil-CSR matrix format	Algebraic multigrid using a stencil-CSR hybrid format on GPUs
Stochastic discontinuous Galerkin	Solving Optimal Control Problems Containing Uncertain Coefficients with Stochastic Discontinuous Galerkin Methods
Stochastic Optimization	Global Convergence and Stability of Stochastic Gradient Descent
Stokes equations	Novel mass-based multigrid relaxation schemes for the Stokes equations
Stopping Criteria	Low-Rank Stopping Criteria for Singular Value Decompositions Residual Tracking and Stopping for Iterative Random Sketching
streamline upwind Petrov-Galerkin	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
stretched meshes	Smoothed Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems
Strong-Scalability	A highly parallel, probabilistically-based solver for nonlinear PDEs in the exascale
Structure-preserving iterative methods	Preconditioned Iterative Methods for Structure-Preserving Discretisations
Sub-Exponential	Residual Tracking and Stopping for Iterative Random Sketching
subset selection	A Restricted SVD based CUR Decomposition for matrix triplets
Subspace method	Minimisation of || b-Ax||_max ||b- Ax||_1 with Krylov-Simplex and column generation
symmetry	Quasi-Newton: combining Multi-Secant and Symmetry
T
Tensor methods	A Low-Rank Solver for the Stochastic Unsteady Navier-Stokes Equations
tensor product	A scalable and robust vertex-star relaxation for high-order FEM
Tikhonov regularization	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
time stepping	A Discontinuous-Galerkin-in-Time Framework for Multirate Time Integration of Interface-Coupled Problems
Time-dependent	From challenges to edge-preserving methods for large-scale dynamic inverse problems
Time-dependent Maxwell's equations	Monolithic Multigrid Methods for Higher-Order Discretizations of Time-Dependent Maxwell’s Equations
Tomographic reconstruction	From challenges to edge-preserving methods for large-scale dynamic inverse problems
total variation	χ2 Test for TV regularization parameter selection
Trace estimation	Improved variants of the Hutch++ algorithm for trace estimation. A Multilevel Approach to Stochastic Trace Estimation
Transport and nuclear applications	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
Turbulent Flows	ROM Closures and Stabilizations for Under-Resolved Turbulent Flows
U
U-Net	Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Uncertainty Quantification	Solving Optimal Control Problems Containing Uncertain Coefficients with Stochastic Discontinuous Galerkin Methods Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
Unstructured mesh	Solving the Neutron Transport Equation for Microreactor Modeling using Unstructured Meshes and Exascale Computing Architectures
unsymmetric partitioned matrices	GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems
V
Variable Projection Method	An ℓp Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems
velocity-stress Newton	AMG-preconditioned primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models
visco-resistive implicit MHD	An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
viscous-plastic rheology	AMG-preconditioned primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models
Vlasov-Maxwell system	Enabling optimizations for reduced kinetic spectral models
W
Wave iterations	Waveform iterations for thermal coupling
|
|| ||_1-norm	Minimisation of || b-Ax||_max ||b- Ax||_1 with Krylov-Simplex and column generation
|| ||_max-norm	Minimisation of || b-Ax||_max ||b- Ax||_1 with Krylov-Simplex and column generation

Disclaimer | Powered by EasyChair Smart Program