TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
3 | |
3T | |
A | |
a posteriori error estimates | |
Abstract | |
Accelerated fixed point iterations | |
adaptive coarse problems | |
adaptive mesh | |
Adaptivity | |
Adiabatic quantum computing | |
adjoint systems | |
ADMM method | |
aerodynamics | |
AL preconditioner | |
algebraic multigrid | |
algebraic multigrid (AMG) | |
algebraic multigrid method | |
Algebraic Preconditioners | |
all-at-once system | |
alternating least squares | |
AMG | |
amggpuperf | |
AMLI-cycle multigrid | |
Analysis of convergence | |
Anderson acceleration | |
Approximate Block Factorization | |
approximate inverse | |
Arnoldi | |
Artificial Intelligence (AI) | |
Asymptotic convergence | |
Asynchronous iteration | |
Asynchronous Iterative Methods | |
Asynchronous Iterative Solvers | |
asynchronous methods | |
Augmented Lagrangian formulation | |
automatic differentiation | |
axisymmetric | |
B | |
Backward Error | |
band-Toeplitz/circulant preconditioners | |
banded preconditioner | |
barotropic mode | |
BDDC | |
bits | |
black-box | |
Blind Deconvolution | |
Block Decompositions | |
Block Iterative Methods | |
block matrices | |
block preconditioners | |
Block Preconditioning | |
Boltzmann | |
Bound-constrained optimization | |
boundary-layer preconditioning | |
C | |
Cahn-Hilliard | |
Cancer Immunotherapy Model | |
CANGA | |
Cardiac mechanics | |
Cauchy integral method | |
CFOSLS | |
coarse space | |
coastal wave models | |
Communication Avoiding | |
compressibility | |
compression | |
Compton scattering | |
Computational chemistry | |
computational ecosystems | |
Computational fluid dynamics | |
Computer Vision | |
conjugate gradient | |
conjugate gradient method | |
conjugate gradients | |
conservative | |
conservative discretization | |
convection-diffusion equations | |
convection-diffusion problems | |
Convergence analysis | |
Convolutional Neural Networks | |
Coupled multi-physics | |
Coupled problems | |
coupling | |
Coupling methods | |
cycle space | |
D | |
DAG-based computational graph | |
Data remap | |
data science | |
decision trees | |
decomposition | |
Deep Learning | |
deep neural networks | |
deep residual networks | |
deflation | |
DEIM | |
density functional theory | |
Diffusive Scaling | |
discontinuous Galerkin | |
Discontinuous Galerkin Discretization | |
discontinuous Galerkin methods | |
distributionally robust optimization | |
domain decomposition | |
domain decomposition method | |
Domain decomposition methods | |
DSA | |
E | |
edge enhancement | |
Effectiveness | |
eigensolver | |
eigensolvers | |
Eigenvalue | |
eigenvalues | |
Electrical Impedance Tomography | |
Electromagnetic simulations | |
electronic structure calculations | |
Elliptic equations | |
Energy Function | |
error analysis | |
error correction | |
Exascale | |
extended Krylov subspace | |
F | |
fast solver | |
FEM | |
FETI-DP | |
Fine-grain parallel smoothing | |
finite difference discretization on staggered grids | |
finite difference method | |
Finite Element Methods | |
Finite elements | |
Finite Elment Method | |
finite precision arithmetic | |
finite volumes | |
First-Order Transport Problems | |
fixed-point iteration | |
flexible Krylov methods | |
Fluid dynamics | |
Fluid systems | |
Fluid-structure interaction | |
Flux recovery | |
Forward Euler method | |
Fourier finite element | |
fractional differential equations | |
fractional diffusion equations | |
Fractional Helmholtz equation | |
Fractional Laplacian Regularization | |
Fractional PDE | |
fracture flow | |
fractured media | |
Fractured porous media | |
free surface flow | |
G | |
Gas Flow | |
Generalized finite flements | |
Generalized Matrix Function | |
generalized moving least squares | |
generative adversarial networks | |
geomechanics | |
geometric multigrid methods | |
Gibbs phenomenon | |
GMLS | |
GMRES | |
Golob-Kahan bidiagonalization | |
Golub-Kahan process | |
GPU | |
Gradient Descent | |
Gram-Schmidt | |
graph clustering | |
Graph coarsening | |
graph Laplacian | |
graph ranking | |
Graphical LASSO | |
Graphical models | |
Graphics processing unit | |
H | |
H(curl) and H(div) convection-diffusion problems | |
h-multigrid | |
half precision | |
Helmholtz | |
Helmholtz decomposition | |
Helmholtz equation | |
heterogeneous components | |
heterogeneous computing | |
High Performance Computing | |
high-order | |
High-Order Finite Elements | |
high-order/low-order acceleration | |
high-performance computing | |
HOLO | |
HPC | |
hybrid | |
Hybrid High-Order | |
hybrid parallelism | |
hybrid regularization methods | |
Hybridized mixed formulation | |
hyperbolic | |
Hyperbolic limit | |
Hyperbolic PDEs | |
HYPRE | |
I | |
Ice sheet modeling | |
ICF | |
Image classification | |
image deblurring | |
image reconstruction | |
image registration | |
image segmentation | |
Imaging Science | |
IMEX | |
Implicit Methods | |
implicit runge kutta methods | |
Implicit-explicit time discretization | |
Incomplete Blurred Image | |
Incomplete LU factorization | |
incompressible magnetohydrodynamics | |
indefinite systems | |
Indefiniteness | |
integral functional | |
interior penalty | |
interpolation | |
inverse problem | |
Inverse problems | |
Inversion | |
Isogeometric Analysis | |
Iterative | |
iterative eigensolvers | |
iterative inversion | |
iterative method | |
iterative methods | |
iterative methods and algorithms | |
iterative refinement | |
iterative reweighting | |
iterative solver | |
iterative solvers | |
Iterative solvers in data science and engineering | |
J | |
Jacobi method | |
Jacobian-free Newton-Krylov | |
JFNK | |
Jinchao Xu | |
K | |
K-cycle | |
Kinetic | |
Kinetic equation | |
Kinetic Equations | |
Kirchhoff rod theory | |
Kokkos | |
Kolmogorov Equations | |
Kronecker product | |
Krylov | |
Krylov methods | |
Krylov subspace method | |
Krylov subspace methods | |
L | |
Lagrangian radiation-hydrodynamics | |
Lanczos biorthogonalization process | |
large-scale computing | |
Large-scale optimization | |
layer-parallel training | |
Least Squares | |
least-norm subproblems | |
least-squares | |
Least-Squares Finite Element Method | |
legacy | |
LFA | |
lightweight CNNs | |
line relaxation | |
linear algebra | |
linear solvers | |
Linear System | |
linear systems | |
Linear systems of equations | |
LMFG | |
low precision | |
Low Rank approximation | |
Low-rank plus sparse matrix | |
low-rank solver | |
low-rank tensor approximation | |
LSQR | |
M | |
machine learning | |
Machine Learning (ML) | |
MagmaDNN | |
Magnetohydrodynamics | |
Markov-type functions | |
materials science | |
Matrix approximation | |
matrix column subset selection | |
Matrix Completion | |
Matrix Decomposition | |
matrix equation | |
matrix interpolative decomposition | |
Matrix-free | |
Maxwell's Equations | |
MCMC | |
mesh adaptation | |
MGRIT | |
MHD | |
Mimetic Finite Differences | |
mixed finite element | |
Mixed finite elements | |
mixed method | |
mixed precision | |
Mixed-dimensional Models | |
Mixed-Precision Arithmetic | |
Mollifier | |
Monolithic formulation | |
Monte Carlo | |
Moreau-Yosida regularization | |
mortar methods | |
multi-fluid plasma | |
multi-tasking learning | |
Multifluid Plasmas | |
multigrid | |
Multigrid methods | |
multigrid smoothers | |
Multigroup neutron transport equations | |
multilevel | |
Multilevel additive Schwarz | |
multilevel ILU preconditioner | |
multilevel minimization | |
Multilevel Monte Carlo | |
multiphase flow | |
multiphysics coupling | |
multiscale methods | |
multiscale preconditioner | |
Multiscale problems | |
N | |
navier-stokes | |
Navier-Stokes equations | |
Navier–Stokes | |
Nesterov acceleration | |
neural networks | |
neurons | |
Neutrino transport equation | |
Newton's Method | |
Newton-based methods | |
Newton-GMRES | |
Newton-Krylov | |
Newton-Krylov methods | |
Newton’s method | |
Non-normal | |
Nonlinear Coupled PDFs | |
nonlinear eigenvalue problems | |
Nonlinear elasticity | |
Nonlinear iterative solvers | |
Nonlinear Partial Differential Equation | |
Nonlinear solvers and coupling methods in climate modeling | |
Nonlocal Operators | |
nonnegative matrix factorization | |
nonsym AMG | |
nonsymmetric | |
nuclear norm regularization | |
null space | |
Numerical algorithms | |
Numerical Optimization | |
O | |
ocean model | |
Ocean-atmosphere coupling | |
one-reduce FGMRES | |
One-sided communication | |
One-synch FGMRES | |
Optimal control | |
optimal-control problem | |
optimization | |
Optimization problem | |
optimization under uncertainty | |
Optimized Schwarz Methods | |
orthogonal tridiagonalization process | |
orthogonalization | |
other | |
P | |
p-multigrid | |
p-multigrid methods | |
Parallel algorithms | |
Parallel Computation | |
parallel computing | |
Parallel Processing | |
parallel Schwarz iterations | |
parallel-in-time | |
parallelism | |
parameter choice strategies | |
parameter-uniform convergence | |
Parareal | |
partial differential equations | |
Partially structured problems | |
Particle Methods | |
Particle-in-Cell | |
particle-laden turbulence | |
partitioning | |
PCG | |
PCGLS | |
PDE constrained optimization | |
PDE constraints | |
PDE discovery | |
PDE-constrained optimization | |
PDEs | |
performance | |
Periodicity-preserving approximation | |
phase field | |
Physics-based block preconditioner | |
Physics-Based Preconditioning | |
Plasma | |
Plasma dynamics | |
plasma physics | |
Plasma Simulation | |
Poisson's equation | |
polynomial preconditioning | |
pore-scale flow | |
Poroelasticity | |
Poromechanics | |
porous media | |
porous medium | |
portability | |
Positive definite | |
Preconditioner | |
Preconditioners for Multiphysics problems | |
preconditioning | |
Primal-Dual | |
Projected Newton methods | |
Projection method | |
Proximal Alternating Minimization | |
Q | |
Quantum adiabatic computing | |
Quantum algorithm | |
quantum algorithms | |
Quantum Circuit Synthesis | |
Quantum Compiling | |
Quantum computation | |
quantum computing | |
Quantum linear algebra | |
Quantum linear systems | |
Quantum signal processing | |
quantum simulation | |
Quantum Zeno effect | |
quasi-minimal error method | |
Quasi-Newton | |
qubits | |
R | |
Radiation Transport | |
random fields | |
Randomized algorithms | |
randomized linear algebra | |
rank reduction | |
rational approximation | |
rational Krylov subspace | |
Reaction-Diffusion | |
real-valued circulant matrix | |
Recycling Krylov subspaces | |
reduced order modeling | |
Refined Ritz | |
Regularization | |
Regularized Stokeslet | |
remap | |
Residual Neural Network | |
robust | |
Robust & scalable iterative solution of coupled multi-physics problems | |
Robust PCA | |
robust solver | |
Robustness | |
roundoff error | |
S | |
Saddle point problems | |
saddle-point linear systems | |
Scalable iterative solutions | |
scalable preconditioner | |
Schur | |
Schur complement | |
Schur complement reduction | |
Schwarz multiplicative methods | |
Scientific Computing | |
scientific machine learning | |
scientific software | |
semantic segmentation | |
semi-implicit solver | |
Semiconductor models | |
Semilinear system | |
sensitivities | |
sensitivity analysis | |
simulated annealing | |
single precision | |
Single-component grid based coarse spaces | |
singular linear equations | |
singular perturbation problems | |
singular value decomposition | |
singular value/eigenvalue distribution | |
singular values | |
singularly perturbed equations | |
Smoothed-Aggregation | |
smoothing methods | |
solid solution alloys | |
Source iteration | |
Space-Time | |
SPAI | |
Spanning Subgraph Preconditioner | |
spanning tree | |
Sparse approximate inverse | |
Sparse interpolation | |
sparse matrix | |
Sparse triangular solver | |
Sparsity | |
SPD matrices | |
spectral fractional Laplacian | |
spectral method | |
spectral Schur complement | |
spectral study | |
State and control constraints | |
Static condensation | |
Statistical inference | |
steady-state | |
stochastic Galerkin | |
Stochastic Gradient Descent Methods | |
stochastic optimization | |
Stochastic PDEs | |
Stokes equations | |
stopping criteria | |
streaming | |
structured | |
Structured incomplete factorization | |
Sub-sampled | |
subsurface flow | |
Support Theory | |
surface PDEs | |
surrogate model | |
surrogate modeling | |
SVD | |
SVD solver | |
Symmetric generalized eigenvalue problem | |
systems of partial differential equations | |
T | |
tensors | |
thermal radiation transport (TRT) | |
Thermal radiative transfer | |
Thermo-mechanical coupling | |
time-dependent | |
time-domain decomposition | |
time-harmonic problems | |
Title | |
toeplitz | |
Toeplitz/Hankel matrices | |
Tomographic Reconstruction | |
tomography | |
Training | |
Transient Gas Flow | |
Transmission conditions | |
Transmission Lines | |
transport | |
Transport and Nuclear Applications | |
Two-level | |
Two-stage Gauss-Seidel | |
U | |
uncertainty quantification | |
Unconstrained Minimization | |
Unitary Matrix | |
unitary transformation | |
Unsmoothed Aggregation | |
upwind finite element | |
V | |
variable projection | |
Variational Algorithms | |
VFP-Ampére | |
W | |
Wave equation | |
wave number independence | |
Weak Galerkin | |
Weighted least squares | |
WLS-ENO schemes | |
Z | |
zfp |