TALK KEYWORD INDEX

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

A | |

a posteriori error estimate | |

adaptive algebraic multigrid | |

adaptive algorithms | |

adaptive coarse spaces | |

adaptive domain decomposition methods | |

adaptive mesh refinement | |

additive Schwarz | |

advection | |

advection-diffusion | |

aggregation | |

algebraic multigrid | |

algebraic multigrid (AMG) | |

algebraic preconditioner | |

algorithmic resilience | |

all-at-once discretization | |

All-in-one solvers | |

AMG (algebraic multigrid) | |

AMG-preconditioned Krylov | |

AMGe | |

analytic compression | |

Anderson acceleration | |

Arnoldi expansion | |

artificial intelligence | |

asymptotic-preserving | |

asynchronous | |

asynchronous iterative linear solver | |

asynchronous iterative methods | |

asynchronous Jacobi method | |

Asynchronous methods | |

augmented lagrangian | |

B | |

Backward Error | |

backward stability | |

batched GEMM | |

Bayesian inverse problems | |

Bayesian Optimization | |

BDDC | |

Biot Equations | |

block GMRES | |

Block Krylov Subspace methods | |

Block preconditioners | |

block Toeplitz systems | |

block vector | |

block-structured relaxation | |

Boltzmann transport equation | |

C | |

C-AMG smoothers | |

canonical correlation analysis | |

chaos | |

Chebyshev | |

Chebyshev approximation | |

Chebyshev polynomials | |

Cholesky factorization | |

climate | |

Closures | |

coarsening quality | |

collaborative autonomy | |

collective multigrid | |

companion linearization | |

Concentration Inequalities | |

conformal mapping | |

conjugate gradient method | |

Conjugate heat transfer | |

Conservation laws | |

conservative | |

Consistency and inconsistency | |

Constrained Optimization | |

continuous finite element | |

convection-diffusion problems | |

convergence acceleration | |

Convolutional Neural Networks | |

coupled models | |

Coupled systems | |

Coupling | |

Credible Interval | |

CUR decomposition | |

D | |

data corruption and delay | |

data-driven discretization | |

Data-Driven Modeling | |

Deblurring | |

decentralized computing | |

deep learning | |

Deep Neural Networks | |

deflated conjugate gradient | |

DEIM | |

diffusion synthetic acceleration | |

Dimensionality Reduction | |

Dirichlet-Neumann method | |

discrepancy principle | |

dispersion | |

distance laplacian | |

Domain decomposition | |

Domain Decomposition based pre-conditioner | |

Domain Decomposition Methods | |

Drift-diffusion equations | |

Dynamic inverse problem | |

E | |

earth system models | |

Eddington factor | |

Edge-preservation | |

eigensolver | |

eigenvalue detection | |

elliptic partial differential equations (PDE) | |

energy minimization prolongation | |

Epidemiology | |

evolutionary | |

exponential fitting | |

exponential residual | |

exponential time integration | |

F | |

fast direct solver | |

FEM | |

FETI-DP | |

Feynman-Kac | |

finite element | |

Finite Element Method | |

finite-element computations | |

fixed-point methods | |

Flexible GMRES | |

flexible methods | |

flexible preconditioning | |

fractional parabolic equations | |

fusion | |

G | |

Gateaux derivative | |

GCR | |

generalized Golub-Kahan | |

generalized moving least squares | |

genetic algorithm | |

Global and local conservation | |

global coarsening | |

Global Convergence | |

GMRES | |

Golub-Kahan Bidiagonalization | |

GPU | |

GPU (graphical processing units) | |

GPU acceleration | |

GPU algorithm | |

GPU-Accelerated | |

GPUs | |

graph Laplacian | |

graph network | |

graph neural network | |

Graph Neural Networks | |

Graphical LASSO | |

graphnet | |

gyrokinetic | |

H | |

Helmholtz decomposition | |

Helmholtz equation | |

Heterogeneous Time-stepping | |

hierarchical matrices | |

hierarchical matrix | |

high performance computing | |

High-order | |

high-order methods | |

history matching | |

HOLO | |

HPC | |

Hutchinson's trace estimator | |

hybrid methods | |

Hybrid Regularization | |

hyperbolic | |

Hyperbolic conservation laws | |

I | |

ICF | |

IMEX | |

Implicit | |

Implicit Methods | |

Implicit Runge-Kutta | |

Incompressible flow | |

Indefinite systems | |

infinite Arnoldi | |

initial iterate | |

inner stopping criteria | |

Interior point methods | |

interior-point method | |

interpolation | |

Intrinsic dimension estimation | |

inverse problems | |

Isogeometric Analysis | |

iterative linear solver | |

Iterative Methods | |

iterative methods for linear systems | |

Iterative Methods for Neural Networks | |

Iterative Randomized Solver | |

iterative refinement | |

Iterative solution methods | |

Iterative solver | |

Iterative solvers | |

iterative triangular solvers | |

J | |

Jacobi Iteration | |

Johnson-Lindenstrauss | |

K | |

kernel-capturing multigrid | |

kinetic plasma model | |

Krylov methods | |

Krylov Recycling | |

Krylov solvers | |

Krylov space methods | |

Krylov subspace method | |

Krylov subspace methods | |

Krylov Subspace Recycling | |

Krylov subspaces | |

Krylov-Schur | |

L | |

Lagrange multipliers | |

learning multigrid | |

Level set method | |

linear equations | |

linear Maxwell equatios | |

Linear operators | |

linear programming | |

linear solvers | |

Lippmann Schwinger Equation | |

Liquid Crystals | |

local Fourier analysis | |

local smoothing | |

localization | |

Localized Orthogonal Decomposition Method | |

locally implicit method | |

locally refined spatial grids | |

Logically Rectangular Grid | |

loss of orthogonality | |

Low Rank Approximation | |

low-rank approximation | |

Low-rank approximations | |

Low-rank methods | |

low-rank tensors | |

low-synchronization algorithms | |

lp norms | |

M | |

machine learning | |

magnetized plasma | |

magnetohydrodynamics | |

mass matrix | |

matrix exponential | |

matrix inverse | |

matrix-free | |

matrix-free methods | |

meshfree methods | |

MFEM | |

MHD | |

Microreactor | |

mimetic finite differences | |

MINRES | |

mixed precision | |

Mixed-Precision Arithmetic | |

mixed-precision computing | |

Model order reduction for dynamical systems | |

Monolithic multigrid | |

monotone scheme | |

Monte Carlo | |

Monte Carlo methods | |

MPACT | |

multi-scale | |

multi-secant | |

multi-view learning | |

multidomain | |

multigrid | |

Multigrid Method | |

Multigrid methods | |

multigrid reduction in time (MGRIT) | |

multigrid-in-time | |

multilevel iteration methods | |

multilevel methods | |

Multilevel Monte Carlo | |

multilevel Monte Carlo (MLMC) | |

multilevel preconditioners | |

Multiphysics | |

multiphysics coupling | |

Multiple rhs | |

multiple right hand sides | |

multirate | |

multiscale | |

Multiscale Finite Elements | |

multivariate interpolation | |

N | |

Navier-Stokes equations | |

Neutron Transport | |

Newton's method | |

Newton--Krylov methods | |

Newton-Krylov-multigrid methods | |

Non-linear elliptic BVP | |

Nonlinear Diffusion Acceleration | |

Nonlinear Domain Decomposition Methods | |

nonlinear iteration | |

Nonlinear iterative solvers | |

nonlinear optimization | |

nonlinear preconditioning | |

nonlinear projection | |

nonlinear solver | |

Nonlinear Solvers | |

nonlinear system solvers | |

nonpolynomial bases | |

Nonsymmetric linear systems | |

numerical simulation | |

O | |

ocean-atmosphere | |

ODEs on low-rank manifolds | |

Optimal Control | |

optimal local approximation spaces | |

Optimal Transport Problem | |

optimization | |

orthogonal Hessenberg reduction | |

Overlapping Schwarz | |

overlapping Schwarz methods | |

P | |

parallel communication | |

parallel computing | |

parallel in time | |

parallel performance | |

parallel-in-time | |

parameterized linear systems | |

Parareal | |

partial differential equations | |

Particle-in-Cell | |

partitioned schemes | |

PDE-constrained optimization | |

PDEs on surfaces | |

phi matrix function | |

Physics-Based Preconditioning | |

plasma | |

Plasma Physics | |

plasmoid instability | |

PN junction | |

Poisson | |

polynomial bases | |

Polynomial preconditioning | |

Poroelasticity | |

Powell-Symmetric-Broyden | |

precoditioning | |

Preconditioned Iterative Methods | |

preconditioned Krylov subspace methods | |

preconditioner | |

Preconditioning | |

pressure projection | |

Probabilistic Rounding Analysis | |

Prolongation | |

Proximal Methods | |

Pseudospectra | |

Q | |

Quasi Static | |

Quasi-Monte Carlo | |

Quasi-Newton | |

R | |

Rademacher Random Vectors | |

radial basis functions(RBF) | |

radiation transport | |

Randomised numerical linear algebra | |

randomization | |

randomized eigensolvers | |

randomized solvers | |

Rank Structured Matrices | |

RASPEN | |

redistribution | |

Reduced Order Models | |

Reduction-Based Multigrid | |

Regularization | |

remap | |

repeated domain partitioning | |

reservoir simulation | |

Residual Estimation | |

resilient computing | |

restarting | |

restricted additive Schwarz | |

Restricted SVD | |

Rightmost eigenmatrices | |

risk-adverse optimal control under uncertainty conditional value at risk | |

Ritz values | |

S | |

Saddle point linear system | |

Saddle-point problems | |

Saddle-point systems | |

Scharfetter-Gummel scheme | |

sea-ice | |

Sequence of Eigenvalue Problems | |

sequentially quadratic programming | |

shallow water equations | |

Shifted Laplace preconditioner | |

shifted linear systems | |

sine transform based preconditioners | |

Singular Value Decomposition | |

smoothed aggregation | |

smoothed aggregation multigrid | |

solution transfer | |

space-time finite element methods | |

space-time multigrid | |

Sparse Approximate Inverse | |

sparse Cholesky | |

sparse matrix | |

sparse matrix format | |

Sparse precision matrix estimation | |

sparse reconstruction | |

Sparse System | |

sparse triangular solves | |

Spectral abscissa | |

Spectral function | |

spectral methods | |

Stability | |

Stabilizations | |

staggered finite-difference method | |

stationary solvers | |

stencil-CSR matrix format | |

Stochastic discontinuous Galerkin | |

Stochastic Optimization | |

Stokes equations | |

Stopping Criteria | |

streamline upwind Petrov-Galerkin | |

stretched meshes | |

Strong-Scalability | |

Structure-preserving iterative methods | |

Sub-Exponential | |

subset selection | |

Subspace method | |

symmetry | |

T | |

Tensor methods | |

tensor product | |

Tikhonov regularization | |

time stepping | |

Time-dependent | |

Time-dependent Maxwell's equations | |

Tomographic reconstruction | |

total variation | |

Trace estimation | |

Transport and nuclear applications | |

Turbulent Flows | |

U | |

U-Net | |

Uncertainty Quantification | |

Unstructured mesh | |

unsymmetric partitioned matrices | |

V | |

Variable Projection Method | |

velocity-stress Newton | |

visco-resistive implicit MHD | |

viscous-plastic rheology | |

Vlasov-Maxwell system | |

W | |

Wave iterations | |

| | |

|| ||_1-norm | |

|| ||_max-norm |