CM2018: FIFTEENTH COPPER MOUNTAIN CONFERENCE ON ITERATIVE METHODS

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

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3D reconstruction	Three dimensional shape reconstruction from liquid displacement using parametric level set methods
A
A Posteriori Error Estimators	A Posteriori Error Estimators for the Frank-Oseen Liquid Crystal Model
a posteriori FEM error estimators	OPTIMAL ITERATIVE SOLVERS FOR LINEAR SYSTEMS WITH (STOCHASTIC) PDE ORIGINS: BALANCED BLACK-BOX STOPPING TESTS
active learning	Active learning for cost-aware model reduction
active subspaces	Data-Driven Polynomial Ridge Approximation Using Variable Projection
Adaptive AMG	aSP-AMG: a novel adaptive algebraic multigrid method for ill-conditioned problems.
adaptive discretization	Global optimization of mixed-integer ODE constrained network problems with application to stationary gas transport
Adaptive mesh refinement	A Posteriori Error Estimators for the Frank-Oseen Liquid Crystal Model The Method of Local Corrections for Computing Volume Potentials on Locally-Structured Grids Asynchronous Stencil Computations in dynamically adaptive FAS for AFAC
adaptive method	An Adaptive Unsmoothed Aggregation Multigrid Method Based on Path Coverings
Adaptive model reduction	Acceleration of Time Parareal Method for Simulation of Dynamics of Power Systems
Adaptive Multigrid Methods	A 6th order finite volume multigrid Poisson solver
ADEF	Iterative methods using deflation for the Helmholtz equation
advection-diffusion-reaction equation	Parallel approximate ideal restriction AMG for nonsymmetric linear systems
Advection-Reaction Equation	A Locally Scaled Least Squares Finite Element Method for the Transport Equation
Aggregation AMG	High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners
aggregation-based algebraic multigrid	An Adaptive Unsmoothed Aggregation Multigrid Method Based on Path Coverings
algebraic multigrid	Semi-smooth Newton methods for nonlinear complementarity formulation of compositional multiphase flow in porous media aSP-AMG: a novel adaptive algebraic multigrid method for ill-conditioned problems. Parallel Algebraic Multigrid with Node-Aware Communication Convergence in Norm of Nonsymmetric Algebraic Multigrid Approximate Ideal Restriction (AIR): an Algebraic Multigrid Method for Nonsymmetric Linear Systems Multilevel Monte Carlo Methods with Sample Reuse and Automatic Coarse Grid Generation using Algebraic Multigrid Parallel approximate ideal restriction AMG for nonsymmetric linear systems Low-Order Finite Element Preconditioner for High-Order Spectral Element Pressure Solver for the Navier-Stokes Equations Algebraic Multigrid Methods, Data Structures and Performance
alternating least squares	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
AMG	Preconditioned Iterative techniques for geophysical electromagnetic problems
AMG for a FOSLS Formulation of the Advection-Reaction Equation	A Locally Scaled Least Squares Finite Element Method for the Transport Equation
AMG reduction	Parallel approximate ideal restriction AMG for nonsymmetric linear systems
AMG restriction operator	Parallel approximate ideal restriction AMG for nonsymmetric linear systems
Anderson acceleration	Adaptive Storage Depth Selection for Anderson Acceleration Convergence Analysis of the EDIIS Algorithm Convergence analysis of Anderson-type acceleration of Richardson's iteration Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
application	Parallel Simulations of Impinging Jets in Crossflow Using PETSc
Approximate Factorization(AF)	An Order N log N Parallel Time-Spectral Solver for Periodic and Quasi-Periodic Problems
Approximate Schur Complement	Preconditioned Iterative techniques for geophysical electromagnetic problems
arbitrary-level hanging nodes	Construction of continuous finite element spaces with arbitrary-level hanging nodes and applications to multigrid algorithms
Arnoldi	Polynomial Preconditioned Arnoldi for Eigenvalues
Asynchronous	An Asynchronous Multigrid Method
Asynchronous communications	GPUDirect Async: GPU synchronous communication techniques applied to multi-grid methods
Asynchronous Fast Adaptive Composite Method	Asynchronous Stencil Computations in dynamically adaptive FAS for AFAC
Asynchronous iterations	Asynchronous Domain Decomposition Solvers Asynchronous Optimized Schwarz methods for Poisson's equation in Rectangular domains An overview of the theory of convergence of asynchronous iterations Parallel asynchronous preconditioners for compressible flow problems
Augmented Lagrangian preconditioners	Augmented Lagrangian-based preconditioners for steady buoyancy driven flow
Augmented systems	A Tridiagonalization Method for Symmetric and Quasi-Definite Saddle-Point Systems
auxiliary space	Computing the Eigenvalues of the Dirichlet-to-Neumann Map for Indefinite Helmholtz Equation
Auxilliary Space Maxwell Solver (AMS)	Preconditioned Iterative techniques for geophysical electromagnetic problems
B
Background stencil computation	Asynchronous Stencil Computations in dynamically adaptive FAS for AFAC
banded matrices	Numerical methods for large-scale Lyapunov equations with symmetric banded data
basis reuse	Interconnected hierarchical rank-structured methods for directly solving and preconditioning the Helmholtz equation
Bathymetry estimation	Bathymetry estimation from video imagery via the linear dispersion relations and the assimilation of wavenumber observations.
Bayesian formulation	A non-linear stochastic inverse problem for faults in geophysics
Bayesian inference	Iterated Conditional Mode algorithm for a Variable splitting and sparsity enforcing priors for linear inverse problems
Bayesian inverse problems	Bathymetry estimation from video imagery via the linear dispersion relations and the assimilation of wavenumber observations.
BDDC	Local Fourier analysis of BDDC-like algorithms
BDFTS	An Order N log N Parallel Time-Spectral Solver for Periodic and Quasi-Periodic Problems
beam-hardening artifacts	Spectral Computed Tomography with Linearization and Preconditioning
Block Cimmino algorithm	A Symbiotic Relationship of Direct and Iterative Methods to Target Sparse Solution on Extreme Scale Computers.
block circulant matrices	The tensor t-function: a definition for functions of third-order tensors
block Gauss-Seidel/Jacobi method	A block Gauss-Seidel/Jacobi preconditioner for heterogeneous many-core architecture
Block preconditioner	New stabilized discretization and preconditioner for poroelastic equations
Block Preconditioning	Robust and Scalable Preconditioning of a Newton-Krylov Solver for All-Speed Melt Pool Flow Physics Optimal-order preconditioners for the reformulated Morse-Ingard equations On Scalable Block Preconditioning of Multifluid Electromagnetic Plasma Systems* Block Preconditioning Informed by Plasma Timescales
block smoothers	LFA Lab - Local Fourier Analysis including periodic stencils in Python
block-newton iterative solvers	Block-Newton Iterative Solvers for Joint Inverse Tumor Growth and Image Registration
bound constraints	Spectral Computed Tomography with Linearization and Preconditioning
Boundary Element Method	Low-rank approximation of matrices in BEM applications
Bounded domain	Asynchronous Optimized Schwarz methods for Poisson's equation in Rectangular domains
branch-and-bound	Global optimization of mixed-integer ODE constrained network problems with application to stationary gas transport
bundle methods	Inexact bundle methods for nonsmooth nonconvex optimization in Hilbert space
bundle trust region	A Bundle Trust Region Method for Shape Optimization with Stress Constraints for Contact Problems based on Isogeometric Analysis
Buoyancy driven flow problems	Augmented Lagrangian-based preconditioners for steady buoyancy driven flow
Burgers equation	A Weak Least-Squares Finite Element Method for Hyperbolic Balance Laws
C
Cahn-Hilliard	High Fidelity Simulations of Biofilm Flow on the Modified Cahn-Hilliard Equation.
CANGA	Adaptive Solution Transfer for Nonsmooth Functions Between Nonmatching Meshes
canonical tensor decomposition	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
Chebyshev interpolation	Low-rank approximation of matrices in BEM applications
Classical AMG	High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners
cloth simulation	Subdivision-Based Nonlinear Multiscale Cloth Simulation
Clustering	Multilevel Preconditioning for Ridge Regression Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
code coupling	Progress on Schwarz-type coupling of core- and edge-region magnetic fusion simulations
collocation	Collocation Methods for Exploring Perturbations in Linear Stability
communication-avoiding	Polynomial Preconditioned GMRES for Communication Reduction
Compact Discretizations	A 6th order finite volume multigrid Poisson solver
compressed solution	A Sampling-based Method for Solving Linear Systems
compression	Propagation of Compression Error of ZFP with Fixed Precision for Floating-Point Data in Iterative Methods Tensor Dictionaries for Image Compression and Deblurring
Compton Scattering	Improved Compton Scattering Methods for Implicit Monte Carlo (IMC) Radiative Transfer Simulations
computational fluid dynamics	Low-Order Finite Element Preconditioner for High-Order Spectral Element Pressure Solver for the Navier-Stokes Equations Scalable solution methodologies for computationally challenging flow simulations from the high-order CFD workshop Parallel asynchronous preconditioners for compressible flow problems
consensus ADMM	An Uncertainty-Weighted Asynchronous ADMM Method for Large-Scale PDE Parameter Estimation
conservation properties	A Weak Least-Squares Finite Element Method for Hyperbolic Balance Laws
conservative scheme	An implicit, conservative, hybrid particle-kinetic-ion fluid-electron algorithm
constrained approximation	Construction of continuous finite element spaces with arbitrary-level hanging nodes and applications to multigrid algorithms
continuation	A Residual Smoothing Strategy for Accelerating Newton Method Continuation
convergence	Convergence in Norm of Nonsymmetric Algebraic Multigrid Iterative methods using deflation for the Helmholtz equation Pollution and convergence of numerical solutions of the Helmholtz equation
Convergence analysis	Adaptive Storage Depth Selection for Anderson Acceleration
Convergence Theorems	An overview of the theory of convergence of asynchronous iterations
Convergent Surrogate Models	Direct, Stochastic Analogues to Deterministic Optimization Methods using Statistical Filters
convex relaxation	Global optimization of mixed-integer ODE constrained network problems with application to stationary gas transport
convolutional neural networks	Stable tensor neural networks Multigrid Method as Convolutional Neural Network
CSLP	Iterative methods using deflation for the Helmholtz equation
curl-curl	Preconditioned Iterative techniques for geophysical electromagnetic problems
D
Data assimilation	Bathymetry estimation from video imagery via the linear dispersion relations and the assimilation of wavenumber observations.
Data Centric Cognitive computing	Data Centric Systems: The Architecture Ready for Algorithmic and Implementation Exploitation
Data Centric System	Data Centric Systems: The Architecture Ready for Algorithmic and Implementation Exploitation
data structures	Algebraic Multigrid Methods, Data Structures and Performance
Davidson	A Golub-Kahan Davidson Method for Accurately Computing Singular Triplets of Large Sparse Matrices
Davidson-type methods	Combining Refined and Standard/Harmonic Rayleigh-Ritz for Interior Hermitian Eigenvalue Problems
deblurring	Tensor Dictionaries for Image Compression and Deblurring
Deep Learning	An Optimal Control Framework for Efficient Training of Deep Neural Networks
Deflation	EFFICIENT POD-BASED DEFLATION METHODS FOR THE SOLUTION OF LARGE AND ILL-CONDITIONED LINEAR SYSTEMS Iterative methods using deflation for the Helmholtz equation
dendritic growth	An implicit approach to phase field modeling of solidification for additively manufactured materials
dense matrix	Fast algorithms for the dense matrices arising from the Method of Regularized Stokeslets
derivative-free optimization	A Globally Convergent Cutting-Plane Method for Simulation-Based Optimization with Integer Constraints Derivative-Free Robust Optimization by Outer Approximations
Design under uncertainty	Multifidelity Optimization Under Uncertainty
Deterministic particle transport	Analysis of the Application of Multiple Preconditioners for Discrete Ordinates Transport Iterations
differentiability	Shape optimization for unsteady fluid-structure interaction
differential equation	Global optimization of mixed-integer ODE constrained network problems with application to stationary gas transport
diffusion process	Multigrid Optimization over Graph Lineages, with Applications to ANN Training
digital image reconstruction	Spectral Computed Tomography with Linearization and Preconditioning
Direct Analogues	Direct, Stochastic Analogues to Deterministic Optimization Methods using Statistical Filters
Direct solver	Rank-structured incomplete factorization preconditioning with adaptive random sampling
Dirichlet-to-Neumann map	Computing the Eigenvalues of the Dirichlet-to-Neumann Map for Indefinite Helmholtz Equation
discontinuous Galerkin	Robust and Scalable Preconditioning of a Newton-Krylov Solver for All-Speed Melt Pool Flow Physics Multigrid Methods for flows in porous media
Discrete Convolution Methods	The Method of Local Corrections for Computing Volume Potentials on Locally-Structured Grids
Discrete Fourier Transform(DFT)	An Order N log N Parallel Time-Spectral Solver for Periodic and Quasi-Periodic Problems
Discretize adjoint pdes	A two-level checkpointing formulation for heterogeneous memory systems
distributed optimization	An Uncertainty-Weighted Asynchronous ADMM Method for Large-Scale PDE Parameter Estimation
distributive relaxation	AMG smoothers for Maxwell's equations
Divergence-Conforming	A Geometric Multigrid Method for Locking-Free, Divergence-Conforming Isogeometric Discretizations of Linear Elasticity
Domain decomposition	A domain decomposition approach for object recognition Optimization of processor allocation for domain decomposed Monte Carlo calculations Asynchronous Domain Decomposition Solvers Progress on Schwarz-type coupling of core- and edge-region magnetic fusion simulations A parallel hierarchical low-rank Schur complement preconditioner for indefinite linear systems Local Fourier analysis of BDDC-like algorithms
domain decomposition method	A block Gauss-Seidel/Jacobi preconditioner for heterogeneous many-core architecture
domain decomposition methods	A Domain Decomposition Method for efficient and accurate simulations of wave scattering
Dynamic Inverse Problems	An Optimal Control Framework for Efficient Training of Deep Neural Networks
Dynamic of electric power system simulation	Acceleration of Time Parareal Method for Simulation of Dynamics of Power Systems
E
Eddy Current Problems	Multigrid Reduction in Time (MGRIT) for Eddy Current Problems
EDIIS algorithm	Convergence Analysis of the EDIIS Algorithm
Effectiveness	Effective and Robust SIF Preconditioners for General SPD Matrices
eigensolvers	Applications of Spectral Clustering to Signed Graph Matrix Representations Floating Point Analysis for Half-Precision Eigensolvers
Eigenvalue analysis	Augmented Lagrangian-based preconditioners for steady buoyancy driven flow
Eigenvalue problems	Combining Refined and Standard/Harmonic Rayleigh-Ritz for Interior Hermitian Eigenvalue Problems The EVSL package for symmetric eigenvalue problems
eigenvalues	Polynomial Preconditioned Arnoldi for Eigenvalues
Electromagnetic Plasma Systems	On Scalable Block Preconditioning of Multifluid Electromagnetic Plasma Systems*
Electromagnetics	Multiscale methods to simulate time-domain geophysical electromagnetic responses
electronic structure computations	Convergence Analysis of the EDIIS Algorithm
elliptic	Mesh-tying via multiple-control PDE-constrained optimization and GMLS function reconstruction
emulator	Data-Driven Polynomial Ridge Approximation Using Variable Projection
Error variable splitting	Iterated Conditional Mode algorithm for a Variable splitting and sparsity enforcing priors for linear inverse problems
explicit methods	A partitioned method for interface problems based on a primal Schur complement
extraction method	On inner iterations of Jacobi-Davidson type methods for large SVD computations
F
face recognition	A domain decomposition approach for object recognition
Fast CPU to GPU link - NVLink	A two-level checkpointing formulation for heterogeneous memory systems
Fast Fourier Transform(FFT)	An Order N log N Parallel Time-Spectral Solver for Periodic and Quasi-Periodic Problems
fast multipole method	Fast algorithms for the dense matrices arising from the Method of Regularized Stokeslets
fault tolerance	RESILIENCE OF THE FINE-GRAINED PARALLEL INCOMPLETE LU FACTORIZATION FOR NON-SYMMETRIC PROBLEMS
FETI-DP	Local Fourier analysis of BDDC-like algorithms
Fictitious Domain Methods	Robust and Scalable Iterative Solvers for Immersed Finite Element Methods
Filtering methods	The EVSL package for symmetric eigenvalue problems
Fine-grain parallelism	Parallel asynchronous preconditioners for compressible flow problems
fine-grained incomplete LU factorizations	RESILIENCE OF THE FINE-GRAINED PARALLEL INCOMPLETE LU FACTORIZATION FOR NON-SYMMETRIC PROBLEMS
Finite Element	Scalable solution methodologies for computationally challenging flow simulations from the high-order CFD workshop
finite element method	Optimal-order preconditioners for the reformulated Morse-Ingard equations Augmented Lagrangian-based preconditioners for steady buoyancy driven flow Low-Order Finite Element Preconditioner for High-Order Spectral Element Pressure Solver for the Navier-Stokes Equations Construction of continuous finite element spaces with arbitrary-level hanging nodes and applications to multigrid algorithms
Finite elements	Block Preconditioners for Two-Phase Incompressible Navier-Stokes Flow On Scalable Block Preconditioning of Multifluid Electromagnetic Plasma Systems*
First-Order System Least Squares	A Locally Scaled Least Squares Finite Element Method for the Transport Equation
FISTA	Spectral Computed Tomography with Linearization and Preconditioning
Fixed point iteration	Fixed-point iterative solution of the microlaser mode equation using a black-box Maxwell's equations solver via implicit Newton step calculation
fixed point scheme	Convergence analysis of Anderson-type acceleration of Richardson's iteration
flow simulation	Collocation Methods for Exploring Perturbations in Linear Stability
Fluid Dynamics	Robust and Scalable Preconditioning of a Newton-Krylov Solver for All-Speed Melt Pool Flow Physics Parallel Simulations of Impinging Jets in Crossflow Using PETSc
fluid-kinetic coupling	A framework for microscopic/macroscopic simulations of magnetized plasmas
fluid-structure interaction	Fast algorithms for the dense matrices arising from the Method of Regularized Stokeslets Shape optimization for unsteady fluid-structure interaction
free-surface models	Efficient Linear Solvers for Two-Phase Navier-Stokes Equations in Free-Surface Models
full approximation scheme	Scalable solution methodologies for computationally challenging flow simulations from the high-order CFD workshop A concurrent multiscale method using geometric multigrid and the full-approximation scheme with applications to metal plasticity
Full Approximation Storage	Asynchronous Stencil Computations in dynamically adaptive FAS for AFAC
functions of operators	The tensor t-function: a definition for functions of third-order tensors
G
gas nework	Global optimization of mixed-integer ODE constrained network problems with application to stationary gas transport
Gaussian process regression	Active learning for cost-aware model reduction
geomechanics	Iterative Algebraic Smoothing Aggregation Multiscale Solver
Geometric Multigrid	LFA Lab - Local Fourier Analysis including periodic stencils in Python A Geometric Multigrid Method for Locking-Free, Divergence-Conforming Isogeometric Discretizations of Linear Elasticity Two-level Fourier analysis of multigrid for higher-order finite-element methods Asynchronous Stencil Computations in dynamically adaptive FAS for AFAC A concurrent multiscale method using geometric multigrid and the full-approximation scheme with applications to metal plasticity
geophysical imaging	An Uncertainty-Weighted Asynchronous ADMM Method for Large-Scale PDE Parameter Estimation
geophysics	Multiscale methods to simulate time-domain geophysical electromagnetic responses Preconditioned Iterative techniques for geophysical electromagnetic problems
GeoSession	A non-invasive matrix-based multigrid scheme for partially structured grids Multigrid Methods for flows in porous media
global smoothing	A multigrid algorithm with subspace correction smoother for grids with arbitrary hanging node configurations
GMLS reconstruction	Mesh-tying via multiple-control PDE-constrained optimization and GMLS function reconstruction
GMRES	A Domain Decomposition Method for efficient and accurate simulations of wave scattering Iterative methods using deflation for the Helmholtz equation
Golub-Kahan	A Golub-Kahan Davidson Method for Accurately Computing Singular Triplets of Large Sparse Matrices
Golub-Kahan bidiagonalization	An inner-outer iterations approach based on the Golub-Kahan bidiagonalization method applied to saddle point problems
GPU computing	RESILIENCE OF THE FINE-GRAINED PARALLEL INCOMPLETE LU FACTORIZATION FOR NON-SYMMETRIC PROBLEMS
GPU programming	Experience porting Monte Carlo particle transport to GPUs
GPUDirect Async	GPUDirect Async: GPU synchronous communication techniques applied to multi-grid methods
Graph Challenge	Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
graph Laplacian	An Adaptive Unsmoothed Aggregation Multigrid Method Based on Path Coverings
Grassmann manifold	Data-Driven Polynomial Ridge Approximation Using Variable Projection
H
hanging nodes	A multigrid algorithm with subspace correction smoother for grids with arbitrary hanging node configurations
Helmholtz decomposition	A Weak Least-Squares Finite Element Method for Hyperbolic Balance Laws
Helmholtz equation	Computing the Eigenvalues of the Dirichlet-to-Neumann Map for Indefinite Helmholtz Equation Iterative methods using deflation for the Helmholtz equation Interconnected hierarchical rank-structured methods for directly solving and preconditioning the Helmholtz equation Pollution and convergence of numerical solutions of the Helmholtz equation
Helmhotlz equation	Multilevel Low-Rank Correction Preconditioning Techniques
Heterogeneous Architecture	Data Centric Systems: The Architecture Ready for Algorithmic and Implementation Exploitation
heterogeneous many-core architecture	A block Gauss-Seidel/Jacobi preconditioner for heterogeneous many-core architecture
Heterogeneous systems	A two-level checkpointing formulation for heterogeneous memory systems
hierarchical factorizations	A recursive skeletonization factorization based on strong admissibility
Hierarchical matrix	Rank-structured incomplete factorization preconditioning with adaptive random sampling A Distributed-Memory Hierarchical Solver for General Sparse Linear Systems
Hierarchical Memory	A two-level checkpointing formulation for heterogeneous memory systems
hierarchical model architectures	Multigrid Optimization over Graph Lineages, with Applications to ANN Training
High Performance Computing	Multigrid algorithms in MueLu for structured grid problems
high-order	Low-Order Finite Element Preconditioner for High-Order Spectral Element Pressure Solver for the Navier-Stokes Equations
High-order Low-order	High-Order Low-Order Nonlinear Convergence Accelerator for the Rosenbluth-Fokker-Planck Collision Operator
High-Order methods	Scalable solution methodologies for computationally challenging flow simulations from the high-order CFD workshop High-Order Hybridized Discontinuous Galerkin (HDG) Method and a Multigrid solver for Magnetohydrodynamic applications
Higher-order FEM	Two-level Fourier analysis of multigrid for higher-order finite-element methods
HPC	A Domain Decomposition Method for efficient and accurate simulations of wave scattering
HSS	Matrix-free construction of HSS representations using adaptive randomized sampling
Hybrid methods	A Symbiotic Relationship of Direct and Iterative Methods to Target Sparse Solution on Extreme Scale Computers.
Hybridized methods	High-Order Hybridized Discontinuous Galerkin (HDG) Method and a Multigrid solver for Magnetohydrodynamic applications
hyperbolic	Approximate Ideal Restriction (AIR): an Algebraic Multigrid Method for Nonsymmetric Linear Systems
hyperbolic balance laws	A Weak Least-Squares Finite Element Method for Hyperbolic Balance Laws
hyperbolic problems	Parallel-in-time multigrid with adaptive spatial coarsening for the linear advection and inviscid Burgers equations
hypersonic	Solvers for hypersonic flow applications
I
ICGS-GMRES	High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners
Imaging	Three dimensional shape reconstruction from liquid displacement using parametric level set methods
Immersed Methods	Robust and Scalable Iterative Solvers for Immersed Finite Element Methods
Implicit Line Smoother	Scalable solution methodologies for computationally challenging flow simulations from the high-order CFD workshop
Implicit Monte Carlo (IMC)	Iterative Multifrequency Corrected Implicit Monte Carlo
implicit time-integration schemes	Benchmarking Fully-Implicit Discretizations of Multi-fluid Plasma-electromagnetic Models for Pulsed Power Applications
Incomplete LU-Factorization	Multilevel Incomplete LU-Factorization Preconditioner for Predominantly Symmetric Systems
Indefinite problems	An inner-outer iterations approach based on the Golub-Kahan bidiagonalization method applied to saddle point problems
inexact function and subgradient evaluations	Inexact bundle methods for nonsmooth nonconvex optimization in Hilbert space
Infinite-dimensional operator	Asynchronous Optimized Schwarz methods for Poisson's equation in Rectangular domains
inner iteration	On inner iterations of Jacobi-Davidson type methods for large SVD computations
Inner-outer iterative scheme	An inner-outer iterations approach based on the Golub-Kahan bidiagonalization method applied to saddle point problems
integral equations	A recursive skeletonization factorization based on strong admissibility
integral representation	A Domain Decomposition Method for efficient and accurate simulations of wave scattering
interior problems	Combining Refined and Standard/Harmonic Rayleigh-Ritz for Interior Hermitian Eigenvalue Problems
inverse brain tumor growth	Block-Newton Iterative Solvers for Joint Inverse Tumor Growth and Image Registration
inverse covariance matrix estimation	High Performance Block Incomplete LU Factorization And Its Applications
inverse problem	Tomographic reconstruction with simultaneous error correction
Inverse problems	Singular Value Analysis of Joint Inversion Three dimensional shape reconstruction from liquid displacement using parametric level set methods Iterated Conditional Mode algorithm for a Variable splitting and sparsity enforcing priors for linear inverse problems An Uncertainty-Weighted Asynchronous ADMM Method for Large-Scale PDE Parameter Estimation
inverse subspace iteration	Low-Rank Solution Methods for Stochastic Eigenvalue Problems
inversion	Randomization for Efficient Reduced Order Models in Diffuse Optical Tomography
Ising models	Multigrid Optimization over Graph Lineages, with Applications to ANN Training
Isogeometric Analysis	A Geometric Multigrid Method for Locking-Free, Divergence-Conforming Isogeometric Discretizations of Linear Elasticity A Bundle Trust Region Method for Shape Optimization with Stress Constraints for Contact Problems based on Isogeometric Analysis
Iterated Conditional Mode (ICM)	Iterated Conditional Mode algorithm for a Variable splitting and sparsity enforcing priors for linear inverse problems
iterative	Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
Iterative Eigensolvers	Unconstrained Functionals for Improved Parallel Scaling of Conjugate Gradient Based Eigensolvers
iterative method	Propagation of Compression Error of ZFP with Fixed Precision for Floating-Point Data in Iterative Methods
Iterative Methods	Preconditioning for time-dependent problems High Performance Block Incomplete LU Factorization And Its Applications Does machine learning need the power of iterative methods for the SVD? A Golub-Kahan Davidson Method for Accurately Computing Singular Triplets of Large Sparse Matrices
Iterative Monte Carlo	Iterative Multifrequency Corrected Implicit Monte Carlo
Iterative Rational Krylov Algorithm (IRKA)	Projected Nonlinear Least Squares for H2 Model Reduction
iterative regularization methods	IR Tools MATLAB Package for Large-Scale Inverse Problems
Iterative solver	High-Order Low-Order Nonlinear Convergence Accelerator for the Rosenbluth-Fokker-Planck Collision Operator
iterative solver software	Toward a Community Software Development Kit (SDK) Including Iterative Solver Software
iterative solvers	Multigrid Method as Convolutional Neural Network
iterative synthetic acceleration	Analysis of the Application of Multiple Preconditioners for Discrete Ordinates Transport Iterations
J
Jacobian-Free Newton-Krylov methods	Benchmarking Fully-Implicit Discretizations of Multi-fluid Plasma-electromagnetic Models for Pulsed Power Applications An implicit approach to phase field modeling of solidification for additively manufactured materials
JDSVD	On inner iterations of Jacobi-Davidson type methods for large SVD computations
Johnson-Lindenstrauss	Approximating trace($L^{\dagger})$ using the Johnson-Lindenstrauss lemma and spectral methods.
Joint Maximum A Posteriori (JMAP)	Iterated Conditional Mode algorithm for a Variable splitting and sparsity enforcing priors for linear inverse problems
K
Kaczmarz	Iterative projective approach for highly corrupted linear systems
Kalman filter	Bathymetry estimation from video imagery via the linear dispersion relations and the assimilation of wavenumber observations.
kernel matrix	An efficient method for block low-rank approximations for kernel matrix systems
Kernel methods	Sampling for Hierarchical Approximation of Kernel Matrices
Krylov method	Pollution and convergence of numerical solutions of the Helmholtz equation
krylov methods	A Tridiagonalization Method for Symmetric and Quasi-Definite Saddle-Point Systems
Krylov subspace method	Acceleration of Time Parareal Method for Simulation of Dynamics of Power Systems
Krylov subspace methods	Polynomial Preconditioned GMRES for Communication Reduction EFFICIENT POD-BASED DEFLATION METHODS FOR THE SOLUTION OF LARGE AND ILL-CONDITIONED LINEAR SYSTEMS A Relaxed Physical Factorization preconditioner for mixed finite element coupled poromechanics. Multilevel Incomplete LU-Factorization Preconditioner for Predominantly Symmetric Systems Conjugate gradient for nonsingular saddle-point systems with a highly singular leading block
Krylov subspace recycling	Subspace recycling for a sequence of linear problems with general-form Tikhonov regularization
L
Lagrange multipliers	A partitioned method for interface problems based on a primal Schur complement
Lanczos methods	A Lanczos-Stieltjes method for one-dimensional ridge function approximation and integration
large-scale equations	Numerical methods for large-scale Lyapunov equations with symmetric banded data
Laser-plasma interactions	A low-dispersion, energy-conserving relativistic particle-in-cell algorithm for laser-plasma interaction applications
LBFGS method	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
least squares problem	A Damped Row Access Method for Solving Ill-Posed Massive Least Squares Problems
least-squares methods	A Weak Least-Squares Finite Element Method for Hyperbolic Balance Laws
linear algebra	Iterative Method suggestion techniques for sparse linear systems
Linear Elasticity	A non-linear stochastic inverse problem for faults in geophysics A Geometric Multigrid Method for Locking-Free, Divergence-Conforming Isogeometric Discretizations of Linear Elasticity Convergence of the multigrid reduction in time algorithm for the linear elasticity equations
linear inverse problems	IR Tools MATLAB Package for Large-Scale Inverse Problems
linear iterative solvers	OPTIMAL ITERATIVE SOLVERS FOR LINEAR SYSTEMS WITH (STOCHASTIC) PDE ORIGINS: BALANCED BLACK-BOX STOPPING TESTS
linear stability analysis	Robust computation of the right-most eigenvalues
linear system	Convergence in Norm of Nonsymmetric Algebraic Multigrid Approximate Ideal Restriction (AIR): an Algebraic Multigrid Method for Nonsymmetric Linear Systems
linear systems	Iterative projective approach for highly corrupted linear systems A Sampling-based Method for Solving Linear Systems
Liquid Crystals	A Posteriori Error Estimators for the Frank-Oseen Liquid Crystal Model
load imbalance	Optimization of processor allocation for domain decomposed Monte Carlo calculations
LOBPCG	Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
Local Fourier analysis	LFA Lab - Local Fourier Analysis including periodic stencils in Python Two-level Fourier analysis of multigrid for higher-order finite-element methods Local Fourier analysis of BDDC-like algorithms
local refinement	A multigrid algorithm with subspace correction smoother for grids with arbitrary hanging node configurations
local scaling/weighting for FOSLS	A Locally Scaled Least Squares Finite Element Method for the Transport Equation
low-order	Low-Order Finite Element Preconditioner for High-Order Spectral Element Pressure Solver for the Navier-Stokes Equations
low-rank approximation	Multilevel Low-Rank Correction Preconditioning Techniques Low-rank approximation of matrices in BEM applications Analysis of Randomized Subspace Iteration: New insights into an old algorithm Low-Rank Solution Methods for Stochastic Eigenvalue Problems Interconnected hierarchical rank-structured methods for directly solving and preconditioning the Helmholtz equation An efficient method for block low-rank approximations for kernel matrix systems
Lyapunov equation	Numerical methods for large-scale Lyapunov equations with symmetric banded data
M
machine learning	An Optimal Control Framework for Efficient Training of Deep Neural Networks Stable tensor neural networks Iterative Method suggestion techniques for sparse linear systems Does machine learning need the power of iterative methods for the SVD? Multilevel Preconditioning for Ridge Regression
magnetic fusion	Progress on Schwarz-type coupling of core- and edge-region magnetic fusion simulations
magnetized plasmas	A framework for microscopic/macroscopic simulations of magnetized plasmas
magnetohydrodynamics	Monolithic Multigrid for a Mixed-Method Finite-Element Formulation of Incompressible, Resistive Magnetohydrodynamics High-Order Hybridized Discontinuous Galerkin (HDG) Method and a Multigrid solver for Magnetohydrodynamic applications
Materials Science	Unconstrained Functionals for Improved Parallel Scaling of Conjugate Gradient Based Eigensolvers
mathematical software	Iterative Method suggestion techniques for sparse linear systems
MATLAB	IR Tools MATLAB Package for Large-Scale Inverse Problems
matrix equations	Numerical methods for large-scale Lyapunov equations with symmetric banded data
matrix exponential	Robust computation of the right-most eigenvalues
matrix functions	The tensor t-function: a definition for functions of third-order tensors
matrix-free	Matrix-free construction of HSS representations using adaptive randomized sampling
Maximally Dispersed Vertices	Low-rank approximation of matrices in BEM applications
Maxwell's equations	AMG smoothers for Maxwell's equations A Domain Decomposition Method for efficient and accurate simulations of wave scattering
medical image registration	Block-Newton Iterative Solvers for Joint Inverse Tumor Growth and Image Registration
Mesh tying	Mesh-tying via multiple-control PDE-constrained optimization and GMLS function reconstruction
method of mappings	Shape optimization for unsteady fluid-structure interaction
MGS-GMRES	High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners
micro-swimmer	Fast algorithms for the dense matrices arising from the Method of Regularized Stokeslets
MINRES GMRES BICGSTAB(L)	OPTIMAL ITERATIVE SOLVERS FOR LINEAR SYSTEMS WITH (STOCHASTIC) PDE ORIGINS: BALANCED BLACK-BOX STOPPING TESTS
Mixed finite elements	Monolithic Multigrid for a Mixed-Method Finite-Element Formulation of Incompressible, Resistive Magnetohydrodynamics A Relaxed Physical Factorization preconditioner for mixed finite element coupled poromechanics.
mixed-integer optimization	A Globally Convergent Cutting-Plane Method for Simulation-Based Optimization with Integer Constraints Global optimization of mixed-integer ODE constrained network problems with application to stationary gas transport
mixed-precision	Floating Point Analysis for Half-Precision Eigensolvers
model order reduction	Projected Nonlinear Least Squares for H2 Model Reduction
model reduction	Active learning for cost-aware model reduction
moment-based scale-bridging algorithm	Multiscale Radiation Transport Method for Eulerian Radiation-Hydrodyamics
monolithic multigrid	Monolithic Multigrid for a Mixed-Method Finite-Element Formulation of Incompressible, Resistive Magnetohydrodynamics
Monte Carlo	Experience porting Monte Carlo particle transport to GPUs
Monte Carlo method	Multifidelity Optimization Under Uncertainty
Monte Carlo methods	Multilevel sampling methods for the quantification of uncertainties within the Bayesian approach to inverse problems
Monte Carlo transport	Optimization of processor allocation for domain decomposed Monte Carlo calculations
Morse-Ingard equations	Optimal-order preconditioners for the reformulated Morse-Ingard equations
Motzkin	Iterative projective approach for highly corrupted linear systems
Multi-grid methods	GPUDirect Async: GPU synchronous communication techniques applied to multi-grid methods
multidimensional arrays	Stable tensor neural networks The tensor t-function: a definition for functions of third-order tensors
Multifidelity	Multifidelity Optimization Under Uncertainty
multifluid plasma simulations	Benchmarking Fully-Implicit Discretizations of Multi-fluid Plasma-electromagnetic Models for Pulsed Power Applications
Multifrontal	Rank-structured incomplete factorization preconditioning with adaptive random sampling
Multigrid	Robust and Scalable Preconditioning of a Newton-Krylov Solver for All-Speed Melt Pool Flow Physics Robust and Scalable Iterative Solvers for Immersed Finite Element Methods Multigrid Reduction in Time (MGRIT) for Eddy Current Problems Multigrid algorithms in MueLu for structured grid problems An Asynchronous Multigrid Method A non-invasive matrix-based multigrid scheme for partially structured grids Scalable solution methodologies for computationally challenging flow simulations from the high-order CFD workshop Multigrid Methods for flows in porous media Parallel-in-time multigrid with adaptive spatial coarsening for the linear advection and inviscid Burgers equations Solvers for hypersonic flow applications
multigrid in time	Time-Parallel Simultaneous Optimization with Unsteady PDEs
multigrid methods	A multigrid algorithm with subspace correction smoother for grids with arbitrary hanging node configurations Multigrid Method as Convolutional Neural Network Construction of continuous finite element spaces with arbitrary-level hanging nodes and applications to multigrid algorithms
multigrid reduction in time	Convergence of the multigrid reduction in time algorithm for the linear elasticity equations
Multigrid solvers	High-Order Hybridized Discontinuous Galerkin (HDG) Method and a Multigrid solver for Magnetohydrodynamic applications
multilevel	Convergence in Norm of Nonsymmetric Algebraic Multigrid Subdivision-Based Nonlinear Multiscale Cloth Simulation
Multilevel ILU	Multilevel Incomplete LU-Factorization Preconditioner for Predominantly Symmetric Systems
Multilevel methods	Convergence Analysis of the Full Approximation Scheme for Nonlinear Problems Multilevel methods for the optimal control of elliptic equations with stochastic coefficients
Multilevel Monte Carlo	Multilevel Monte Carlo Methods with Sample Reuse and Automatic Coarse Grid Generation using Algebraic Multigrid
multilevel preconditioner	Multilevel Low-Rank Correction Preconditioning Techniques
Multilevel preconditioning	Multilevel Preconditioning for Ridge Regression
Multilevel Quasi-Monte Carlo	Multilevel Monte Carlo Methods with Sample Reuse and Automatic Coarse Grid Generation using Algebraic Multigrid
multilinear algebra	Stable tensor neural networks
multiphase flow	Semi-smooth Newton methods for nonlinear complementarity formulation of compositional multiphase flow in porous media
multiphysics	Adaptive Solution Transfer for Nonsmooth Functions Between Nonmatching Meshes
Multiscale Methods	Multiscale methods to simulate time-domain geophysical electromagnetic responses
multiscale modeling	A concurrent multiscale method using geometric multigrid and the full-approximation scheme with applications to metal plasticity
multiscale solvers	Iterative Algebraic Smoothing Aggregation Multiscale Solver
N
Navier-Stokes	High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners Block Preconditioners for Two-Phase Incompressible Navier-Stokes Flow
Navier-Stokes equations	Shape optimization for unsteady fluid-structure interaction
Nesterov method	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
network analysis	The tensor t-function: a definition for functions of third-order tensors
Neural network training	Parallel-in-Time for Non-PDE-Based Evolution Problems: Neural Network Training and Powersystems
neural networks	Multigrid Optimization over Graph Lineages, with Applications to ANN Training
Newton	A Residual Smoothing Strategy for Accelerating Newton Method Continuation
Newton's method	Fixed-point iterative solution of the microlaser mode equation using a black-box Maxwell's equations solver via implicit Newton step calculation
Newton-Krylov	Robust and Scalable Preconditioning of a Newton-Krylov Solver for All-Speed Melt Pool Flow Physics
noisy optimization	Optimization of processor allocation for domain decomposed Monte Carlo calculations
non-coincident interfaces	Mesh-tying via multiple-control PDE-constrained optimization and GMLS function reconstruction
non-constant coefficients	LFA Lab - Local Fourier Analysis including periodic stencils in Python
non-linear inverse problems	A Newton-Based Optimization Method for Quantitative Photo-Acoustic Tomography
Non-volitale Memory Express - NVMe	A two-level checkpointing formulation for heterogeneous memory systems
nonlinear	A Residual Smoothing Strategy for Accelerating Newton Method Continuation
nonlinear acceleration	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
nonlinear conjugate gradient method	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
Nonlinear eigenvalue equation	Fixed-point iterative solution of the microlaser mode equation using a black-box Maxwell's equations solver via implicit Newton step calculation
Nonlinear Fokker-Planck	High-Order Low-Order Nonlinear Convergence Accelerator for the Rosenbluth-Fokker-Planck Collision Operator
nonlinear GMRES	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
Nonlinear inverse problem	Subspace recycling for a sequence of linear problems with general-form Tikhonov regularization
nonlinear optimization	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition Block-Newton Iterative Solvers for Joint Inverse Tumor Growth and Image Registration
nonlinear preconditioning	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
Nonlinear solvers	Adaptive Storage Depth Selection for Anderson Acceleration
nonsmooth optimization	A Bundle Trust Region Method for Shape Optimization with Stress Constraints for Contact Problems based on Isogeometric Analysis
nonsymmetric	Convergence in Norm of Nonsymmetric Algebraic Multigrid Approximate Ideal Restriction (AIR): an Algebraic Multigrid Method for Nonsymmetric Linear Systems
nonsymmetric linear systems	Parallel approximate ideal restriction AMG for nonsymmetric linear systems
null space	Conjugate gradient for nonsingular saddle-point systems with a highly singular leading block
numerical analysis	Floating Point Analysis for Half-Precision Eigensolvers
Numerical linear algebra	Sampling for Hierarchical Approximation of Kernel Matrices
Numerical Methods	Improved Compton Scattering Methods for Implicit Monte Carlo (IMC) Radiative Transfer Simulations
numerical software	Toward a Community Software Development Kit (SDK) Including Iterative Solver Software
Nédélec's finite elements	AMG smoothers for Maxwell's equations
O
Optimal Control	Mesh-tying via multiple-control PDE-constrained optimization and GMLS function reconstruction An Optimal Control Framework for Efficient Training of Deep Neural Networks
optimal control of stochastic PDEs	Multilevel methods for the optimal control of elliptic equations with stochastic coefficients
optimal control of variational inequalities	Inexact bundle methods for nonsmooth nonconvex optimization in Hilbert space
optimization	Towards a Scalable Parallel-in-Time Full Space Optimization Algorithm Robust Nonlinear Optimization Sensitivity Analysis for PDE-Constrained Optimization Derivative-Free Robust Optimization by Outer Approximations Tomographic reconstruction with simultaneous error correction Randomization for Efficient Reduced Order Models in Diffuse Optical Tomography
Optimization under uncertainty	Multifidelity Optimization Under Uncertainty
optimization-based	Optimization-based, property preserving finite element methods for transport equations
Optimized Schwarz methods	Asynchronous Domain Decomposition Solvers Asynchronous Optimized Schwarz methods for Poisson's equation in Rectangular domains
orthogonal polynomials	A Lanczos-Stieltjes method for one-dimensional ridge function approximation and integration
orthogonalization	Floating Point Analysis for Half-Precision Eigensolvers
outer iteration	On inner iterations of Jacobi-Davidson type methods for large SVD computations
overlapping Schwarz smoother	AMG smoothers for Maxwell's equations
P
parallel	High Fidelity Simulations of Biofilm Flow on the Modified Cahn-Hilliard Equation. Parallel Simulations of Impinging Jets in Crossflow Using PETSc Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
parallel communication	Parallel Algebraic Multigrid with Node-Aware Communication
parallel computing	An overview of the theory of convergence of asynchronous iterations A parallel hierarchical low-rank Schur complement preconditioner for indefinite linear systems
Parallel implementation	A non-linear stochastic inverse problem for faults in geophysics Parallel Algebraic Multigrid with Node-Aware Communication
parallel in time	Parallel-in-time multigrid with adaptive spatial coarsening for the linear advection and inviscid Burgers equations
Parallel linear solver	A Distributed-Memory Hierarchical Solver for General Sparse Linear Systems
Parallel Multigrid	Improving the Performance of Line Relaxation in BoxMG
Parallel preconditioning	RESILIENCE OF THE FINE-GRAINED PARALLEL INCOMPLETE LU FACTORIZATION FOR NON-SYMMETRIC PROBLEMS Parallel asynchronous preconditioners for compressible flow problems
Parallel Scaling	Unconstrained Functionals for Improved Parallel Scaling of Conjugate Gradient Based Eigensolvers
parallel solver	Parallel approximate ideal restriction AMG for nonsymmetric linear systems
Parallel-in-Time	Multigrid Reduction in Time (MGRIT) for Eddy Current Problems Towards a Scalable Parallel-in-Time Full Space Optimization Algorithm Parallel-in-Time for Non-PDE-Based Evolution Problems: Neural Network Training and Powersystems Time-Parallel Simultaneous Optimization with Unsteady PDEs Convergence of the multigrid reduction in time algorithm for the linear elasticity equations
parameter estimation	An Uncertainty-Weighted Asynchronous ADMM Method for Large-Scale PDE Parameter Estimation
Parametric level set	Three dimensional shape reconstruction from liquid displacement using parametric level set methods
parametric level set (PaLS)	A Newton-Based Optimization Method for Quantitative Photo-Acoustic Tomography
particle methods	An implicit, conservative, hybrid particle-kinetic-ion fluid-electron algorithm
particle-in-cell	A low-dispersion, energy-conserving relativistic particle-in-cell algorithm for laser-plasma interaction applications
partitioned methods	A partitioned method for interface problems based on a primal Schur complement
partitioning	Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
path cover	An Adaptive Unsmoothed Aggregation Multigrid Method Based on Path Coverings
PDE constrained optimization	An Uncertainty-Weighted Asynchronous ADMM Method for Large-Scale PDE Parameter Estimation Block-Newton Iterative Solvers for Joint Inverse Tumor Growth and Image Registration
PDE-Constrained Optimization	A locally adapted reduced basis method for solving risk-averse PDE- constrained optimization problems
PDEs (with random data)	OPTIMAL ITERATIVE SOLVERS FOR LINEAR SYSTEMS WITH (STOCHASTIC) PDE ORIGINS: BALANCED BLACK-BOX STOPPING TESTS
PDEs with random coefficients	Multilevel Monte Carlo Methods with Sample Reuse and Automatic Coarse Grid Generation using Algebraic Multigrid
PDEs with random data	Multilevel sampling methods for the quantification of uncertainties within the Bayesian approach to inverse problems
performance	Algebraic Multigrid Methods, Data Structures and Performance
PETSc	High Fidelity Simulations of Biofilm Flow on the Modified Cahn-Hilliard Equation. Parallel Simulations of Impinging Jets in Crossflow Using PETSc
phase-field method	An implicit approach to phase field modeling of solidification for additively manufactured materials
Physic-Based Preconditioning	Block Preconditioning Informed by Plasma Timescales
physics-based preconditioners	Benchmarking Fully-Implicit Discretizations of Multi-fluid Plasma-electromagnetic Models for Pulsed Power Applications
physics-based preconditioning	An implicit approach to phase field modeling of solidification for additively manufactured materials
Plasma	An implicit, conservative, hybrid particle-kinetic-ion fluid-electron algorithm High-Order Low-Order Nonlinear Convergence Accelerator for the Rosenbluth-Fokker-Planck Collision Operator
plasma modeling	Benchmarking Fully-Implicit Discretizations of Multi-fluid Plasma-electromagnetic Models for Pulsed Power Applications
plasma physics	Progress on Schwarz-type coupling of core- and edge-region magnetic fusion simulations
Plasma Simulation	Block Preconditioning Informed by Plasma Timescales
POD	EFFICIENT POD-BASED DEFLATION METHODS FOR THE SOLUTION OF LARGE AND ILL-CONDITIONED LINEAR SYSTEMS
Poisson Solvers	A 6th order finite volume multigrid Poisson solver
pollution	Pollution and convergence of numerical solutions of the Helmholtz equation
Polynomial filtering	The EVSL package for symmetric eigenvalue problems
polynomial preconditioner	Polynomial Preconditioned GMRES for Communication Reduction
polynomial preconditioning	Polynomial Preconditioned Arnoldi for Eigenvalues
Poroelasticity	New stabilized discretization and preconditioner for poroelastic equations
Poromechanics	A Relaxed Physical Factorization preconditioner for mixed finite element coupled poromechanics.
Porous media	Multigrid Methods for flows in porous media Preconditioners for non-isothermal flow through porous media
Potential Theory	The Method of Local Corrections for Computing Volume Potentials on Locally-Structured Grids
Powergrid	Parallel-in-Time for Non-PDE-Based Evolution Problems: Neural Network Training and Powersystems
Powersystem	Parallel-in-Time for Non-PDE-Based Evolution Problems: Neural Network Training and Powersystems
preconditioner	Multigrid algorithms in MueLu for structured grid problems Fast algorithms for the dense matrices arising from the Method of Regularized Stokeslets Block Preconditioners for Two-Phase Incompressible Navier-Stokes Flow A Distributed-Memory Hierarchical Solver for General Sparse Linear Systems Approximate Ideal Restriction (AIR): an Algebraic Multigrid Method for Nonsymmetric Linear Systems Low-Order Finite Element Preconditioner for High-Order Spectral Element Pressure Solver for the Navier-Stokes Equations Multilevel Incomplete LU-Factorization Preconditioner for Predominantly Symmetric Systems
preconditioners	Efficient Linear Solvers for Two-Phase Navier-Stokes Equations in Free-Surface Models Conjugate gradient for nonsingular saddle-point systems with a highly singular leading block
Preconditioning	Preconditioning for time-dependent problems Robust and Scalable Iterative Solvers for Immersed Finite Element Methods aSP-AMG: a novel adaptive algebraic multigrid method for ill-conditioned problems. Towards a Scalable Parallel-in-Time Full Space Optimization Algorithm Rank-structured incomplete factorization preconditioning with adaptive random sampling High Performance Block Incomplete LU Factorization And Its Applications OPTIMAL ITERATIVE SOLVERS FOR LINEAR SYSTEMS WITH (STOCHASTIC) PDE ORIGINS: BALANCED BLACK-BOX STOPPING TESTS A Relaxed Physical Factorization preconditioner for mixed finite element coupled poromechanics. Preconditioners for non-isothermal flow through porous media Spectral Computed Tomography with Linearization and Preconditioning Analysis of the Application of Multiple Preconditioners for Discrete Ordinates Transport Iterations
Predominantly symmetric systems	Multilevel Incomplete LU-Factorization Preconditioner for Predominantly Symmetric Systems
Principal component analysis	A domain decomposition approach for object recognition
probing	Approximating trace($L^{\dagger})$ using the Johnson-Lindenstrauss lemma and spectral methods.
projection method	Convergence analysis of Anderson-type acceleration of Richardson's iteration A Sampling-based Method for Solving Linear Systems
prolongation maps	Multigrid Optimization over Graph Lineages, with Applications to ANN Training
property preserving	Optimization-based, property preserving finite element methods for transport equations
pseudospectra	Collocation Methods for Exploring Perturbations in Linear Stability
Q
quantitative photo-acoustic tomography (QPAT)	A Newton-Based Optimization Method for Quantitative Photo-Acoustic Tomography
R
radiation transport	Improved Compton Scattering Methods for Implicit Monte Carlo (IMC) Radiative Transfer Simulations Experience porting Monte Carlo particle transport to GPUs
radiation-hydrodynamics	Multiscale Radiation Transport Method for Eulerian Radiation-Hydrodyamics
randomization	Randomization for Efficient Reduced Order Models in Diffuse Optical Tomography
randomized iterative method	A Damped Row Access Method for Solving Ill-Posed Massive Least Squares Problems
Randomized iterative methods	Iterative projective approach for highly corrupted linear systems
Randomized Methods	Analysis of Randomized Subspace Iteration: New insights into an old algorithm Does machine learning need the power of iterative methods for the SVD?
randomized sampling	Matrix-free construction of HSS representations using adaptive randomized sampling
rank deficient systems	A Tridiagonalization Method for Symmetric and Quasi-Definite Saddle-Point Systems
Rank-Revealing LU factorization	Low-rank approximation of matrices in BEM applications
Rank-Revealing QR factorization	Low-rank approximation of matrices in BEM applications
ranking	Iterative Methods in Sports Ranking
rational approximation	Projected Nonlinear Least Squares for H2 Model Reduction
rational filtering	The EVSL package for symmetric eigenvalue problems A parallel hierarchical low-rank Schur complement preconditioner for indefinite linear systems
rational Leja	Robust computation of the right-most eigenvalues
RD rational	Robust computation of the right-most eigenvalues
reduced order models	Randomization for Efficient Reduced Order Models in Diffuse Optical Tomography
regularization	Singular Value Analysis of Joint Inversion Tensor Dictionaries for Image Compression and Deblurring
regularized Stokeslet	Fast algorithms for the dense matrices arising from the Method of Regularized Stokeslets
Reservoir simulation	Preconditioners for non-isothermal flow through porous media
response surface	Data-Driven Polynomial Ridge Approximation Using Variable Projection
restarted block FOM	The tensor t-function: a definition for functions of third-order tensors
restarted block GMRES	The tensor t-function: a definition for functions of third-order tensors
restarted block Krylov methods	The tensor t-function: a definition for functions of third-order tensors
Richardson iteration	Convergence analysis of Anderson-type acceleration of Richardson's iteration
ridge function	Data-Driven Polynomial Ridge Approximation Using Variable Projection
ridge functions	A Lanczos-Stieltjes method for one-dimensional ridge function approximation and integration
right-most eigenvalues	Robust computation of the right-most eigenvalues
Risk Measures	A locally adapted reduced basis method for solving risk-averse PDE- constrained optimization problems
robust optimization	Derivative-Free Robust Optimization by Outer Approximations Multifidelity Optimization Under Uncertainty
Robust preconditioner	Effective and Robust SIF Preconditioners for General SPD Matrices
Rotating mesh	High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners
round-off error	Propagation of Compression Error of ZFP with Fixed Precision for Floating-Point Data in Iterative Methods
row action method	A Damped Row Access Method for Solving Ill-Posed Massive Least Squares Problems
S
saddle point problems	A Tridiagonalization Method for Symmetric and Quasi-Definite Saddle-Point Systems
saddle-point linear systems	Conjugate gradient for nonsingular saddle-point systems with a highly singular leading block
sampling	A Sampling-based Method for Solving Linear Systems
sampling basis	A Sampling-based Method for Solving Linear Systems
scalability	Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
Scalable Solvers	The Method of Local Corrections for Computing Volume Potentials on Locally-Structured Grids
Scaling-and-compression strategy	Effective and Robust SIF Preconditioners for General SPD Matrices
Schur complement	Efficient Linear Solvers for Two-Phase Navier-Stokes Equations in Free-Surface Models Block Preconditioners for Two-Phase Incompressible Navier-Stokes Flow A partitioned method for interface problems based on a primal Schur complement
Schur Complement approximations	On Scalable Block Preconditioning of Multifluid Electromagnetic Plasma Systems*
Schur complements	Multilevel Low-Rank Correction Preconditioning Techniques A parallel hierarchical low-rank Schur complement preconditioner for indefinite linear systems
selective h-refinement	Construction of continuous finite element spaces with arbitrary-level hanging nodes and applications to multigrid algorithms
selective inversion	High Performance Block Incomplete LU Factorization And Its Applications
semi-convergence	IR Tools MATLAB Package for Large-Scale Inverse Problems
semi-implicit	A low-dispersion, energy-conserving relativistic particle-in-cell algorithm for laser-plasma interaction applications
semi-smooth Newton	Semi-smooth Newton methods for nonlinear complementarity formulation of compositional multiphase flow in porous media
sensitivity	Sensitivity Analysis for PDE-Constrained Optimization
Sequence of linear inverse problems	Subspace recycling for a sequence of linear problems with general-form Tikhonov regularization
shape optimization	Shape optimization for unsteady fluid-structure interaction A Bundle Trust Region Method for Shape Optimization with Stress Constraints for Contact Problems based on Isogeometric Analysis
shifted Laplacian preconditioner	Interconnected hierarchical rank-structured methods for directly solving and preconditioning the Helmholtz equation
signed graphs	Applications of Spectral Clustering to Signed Graph Matrix Representations
Simulation-Based Optimization	A Globally Convergent Cutting-Plane Method for Simulation-Based Optimization with Integer Constraints
simultaneous optimization	Time-Parallel Simultaneous Optimization with Unsteady PDEs
Single-touch implementation	Asynchronous Stencil Computations in dynamically adaptive FAS for AFAC
Singular triplets	On inner iterations of Jacobi-Davidson type methods for large SVD computations
Singular Value Decomposition	A Golub-Kahan Davidson Method for Accurately Computing Singular Triplets of Large Sparse Matrices
singular values	Singular Value Analysis of Joint Inversion Does machine learning need the power of iterative methods for the SVD?
Skeletonized Interpolation	Low-rank approximation of matrices in BEM applications
Sketching and sampling	Sampling for Hierarchical Approximation of Kernel Matrices
smoothing aggregation	Iterative Algebraic Smoothing Aggregation Multiscale Solver
software development kit	Toward a Community Software Development Kit (SDK) Including Iterative Solver Software
software for eigenvalue problems	The EVSL package for symmetric eigenvalue problems
solid mechanics	A concurrent multiscale method using geometric multigrid and the full-approximation scheme with applications to metal plasticity
solidification modeling	An implicit approach to phase field modeling of solidification for additively manufactured materials
Solution of sparse linear systems	A Symbiotic Relationship of Direct and Iterative Methods to Target Sparse Solution on Extreme Scale Computers.
solution transfer	Adaptive Solution Transfer for Nonsmooth Functions Between Nonmatching Meshes
Solvers	Robust Nonlinear Optimization Solvers for hypersonic flow applications
Southwell	An Asynchronous Multigrid Method
space-time discretization	A Weak Least-Squares Finite Element Method for Hyperbolic Balance Laws
Sparse	Rank-structured incomplete factorization preconditioning with adaptive random sampling
Sparse approximate inverses	aSP-AMG: a novel adaptive algebraic multigrid method for ill-conditioned problems.
sparse linear systems	Iterative Method suggestion techniques for sparse linear systems
Sparse matrix	A Distributed-Memory Hierarchical Solver for General Sparse Linear Systems
sparse matrix operations	Parallel Algebraic Multigrid with Node-Aware Communication
Sparsity enforcing	Iterated Conditional Mode algorithm for a Variable splitting and sparsity enforcing priors for linear inverse problems
SPD matrices	Effective and Robust SIF Preconditioners for General SPD Matrices
spectral	Scalable Spectral Clustering. Room: Bighorn B. Chair: Geoff Sanders
spectral algorithm	Iterative Methods in Sports Ranking
spectral clustering	Applications of Spectral Clustering to Signed Graph Matrix Representations
spectral computed tomography	Spectral Computed Tomography with Linearization and Preconditioning
spectral element method	Low-Order Finite Element Preconditioner for High-Order Spectral Element Pressure Solver for the Navier-Stokes Equations
spectral methods	Approximating trace($L^{\dagger})$ using the Johnson-Lindenstrauss lemma and spectral methods. A framework for microscopic/macroscopic simulations of magnetized plasmas
Spectrum slicing	The EVSL package for symmetric eigenvalue problems
sports	Iterative Methods in Sports Ranking
stability analysis	Collocation Methods for Exploring Perturbations in Linear Stability
Stable finite elements	New stabilized discretization and preconditioner for poroelastic equations
Statistical Filtering	Direct, Stochastic Analogues to Deterministic Optimization Methods using Statistical Filters
Stekloff eigenvalue	Computing the Eigenvalues of the Dirichlet-to-Neumann Map for Indefinite Helmholtz Equation
stochastic eigenvalue problem	Low-Rank Solution Methods for Stochastic Eigenvalue Problems
stochastic Galerkin	Multilevel methods for the optimal control of elliptic equations with stochastic coefficients
Stochastic inverse problem	A non-linear stochastic inverse problem for faults in geophysics
Stochastic Optimization	Direct, Stochastic Analogues to Deterministic Optimization Methods using Statistical Filters
Stochastic Programing	A locally adapted reduced basis method for solving risk-averse PDE- constrained optimization problems
stress constraints	A Bundle Trust Region Method for Shape Optimization with Stress Constraints for Contact Problems based on Isogeometric Analysis
strong admissibility	A recursive skeletonization factorization based on strong admissibility
Structured grid	Multigrid algorithms in MueLu for structured grid problems
Structured Grids	A non-invasive matrix-based multigrid scheme for partially structured grids
Structured incomplete factorization (SIF)	Effective and Robust SIF Preconditioners for General SPD Matrices
structured matrix	An efficient method for block low-rank approximations for kernel matrix systems
Structured Solvers	Improving the Performance of Line Relaxation in BoxMG
subdivision surfaces	Subdivision-Based Nonlinear Multiscale Cloth Simulation
Subdomain Smoothing	A Geometric Multigrid Method for Locking-Free, Divergence-Conforming Isogeometric Discretizations of Linear Elasticity
subspace correction	A multigrid algorithm with subspace correction smoother for grids with arbitrary hanging node configurations
subspace expansion	On inner iterations of Jacobi-Davidson type methods for large SVD computations
Subspace iteration	Analysis of Randomized Subspace Iteration: New insights into an old algorithm
Successive subspace optimization	Convergence Analysis of the Full Approximation Scheme for Nonlinear Problems
symmetric generalized eigenvalue problem	A parallel hierarchical low-rank Schur complement preconditioner for indefinite linear systems
T
t-product	The tensor t-function: a definition for functions of third-order tensors
tensor	Tensor Dictionaries for Image Compression and Deblurring
tensors	The tensor t-function: a definition for functions of third-order tensors
The full approximation scheme	Convergence Analysis of the Full Approximation Scheme for Nonlinear Problems
the Generalized Minimal Residual Method(GMRES)	An Order N log N Parallel Time-Spectral Solver for Periodic and Quasi-Periodic Problems
thermal radiative transfer	Multiscale Radiation Transport Method for Eulerian Radiation-Hydrodyamics
Thermal Radiative Transfer (TRT)	Iterative Multifrequency Corrected Implicit Monte Carlo
thin shell simulation	Subdivision-Based Nonlinear Multiscale Cloth Simulation
Time parallel method	Acceleration of Time Parareal Method for Simulation of Dynamics of Power Systems
Time Parareal	Acceleration of Time Parareal Method for Simulation of Dynamics of Power Systems
Time-dependent problems	Preconditioning for time-dependent problems
Time-Spectral Methods	An Order N log N Parallel Time-Spectral Solver for Periodic and Quasi-Periodic Problems
Tomography	Tomographic reconstruction with simultaneous error correction
trace estimator	Approximating trace($L^{\dagger})$ using the Johnson-Lindenstrauss lemma and spectral methods.
transmission	Mesh-tying via multiple-control PDE-constrained optimization and GMLS function reconstruction
transmission conditions	A Domain Decomposition Method for efficient and accurate simulations of wave scattering
transport problems	Optimization-based, property preserving finite element methods for transport equations
Tridiagonal Solvers	Improving the Performance of Line Relaxation in BoxMG
trust region	Subdivision-Based Nonlinear Multiscale Cloth Simulation
Tucker tensor decomposition	Nonlinearly Preconditioned LBFGS and Nesterov Methods as Acceleration Mechanisms for Alternating Least Squares, with Application to Tensor Decomposition
Turbulent Flows	Scalable solution methodologies for computationally challenging flow simulations from the high-order CFD workshop
Two-Level checkpoint	A two-level checkpointing formulation for heterogeneous memory systems
Two-phase flow	Block Preconditioners for Two-Phase Incompressible Navier-Stokes Flow EFFICIENT POD-BASED DEFLATION METHODS FOR THE SOLUTION OF LARGE AND ILL-CONDITIONED LINEAR SYSTEMS
two-phase Navier-Stokes	Efficient Linear Solvers for Two-Phase Navier-Stokes Equations in Free-Surface Models
U
uncertainty	Robust Nonlinear Optimization Sensitivity Analysis for PDE-Constrained Optimization
uncertainty quantification	Multilevel sampling methods for the quantification of uncertainties within the Bayesian approach to inverse problems Tomographic reconstruction with simultaneous error correction
unsteady optimization	Time-Parallel Simultaneous Optimization with Unsteady PDEs
unstructured mesh	A block Gauss-Seidel/Jacobi preconditioner for heterogeneous many-core architecture
V
variable projection	Data-Driven Polynomial Ridge Approximation Using Variable Projection
Variational Bayesian Approximation (VBA)	Iterated Conditional Mode algorithm for a Variable splitting and sparsity enforcing priors for linear inverse problems
W
weak solutions	A Weak Least-Squares Finite Element Method for Hyperbolic Balance Laws
Weighted max norm	Asynchronous Optimized Schwarz methods for Poisson's equation in Rectangular domains
Wind-turbines	High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners
Z
ZFP Compression	Propagation of Compression Error of ZFP with Fixed Precision for Floating-Point Data in Iterative Methods

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