TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
( | |
(block) ILUT smoothers | |
A | |
a posteriori error estimates | |
adaptive coarse spaces | |
adaptive domain decomposition | |
adaptive method | |
Adaptive supervised learning | |
Additive Schwarz methods | |
Additive Vanka | |
agglomeration multigrid | |
aggregative AMG | |
algebraic multigrid | |
algebraic multigrid method | |
Algebraic Multigrid methods | |
alternative CNN architecture | |
AMG | |
AMG (algebraic multigrid) | |
AMG interpolations | |
anisotropic multigrid methods | |
Approximate Cholesky Factorization | |
augmented block Cimmino | |
augmented Lagrangian preconditioner | |
B | |
BDF discretization | |
BDM | |
Biharmonic equation | |
block preconditioning | |
block smoothers | |
Block Toeplitz Matrices | |
block-Jacobi | |
Boolean Model | |
Braess-Sarazin | |
C | |
Chebyshev iteration | |
Chebyshev smoother | |
clustering | |
cnn | |
coarse-grid agglomeration | |
Combinatorial Optimization | |
compact neural networks | |
computer vision | |
Constrained time-dependent PDEs | |
contact mechanics | |
contact problems | |
convergence | |
convergence theory | |
convolutional network | |
Convolutional Neural Network | |
Convolutional neural networks | |
Coupled PDEs | |
cutting | |
cycle space | |
D | |
deep learning | |
deep neural networks | |
Deep Q-Learning | |
deep residual networks | |
DG | |
Discontinuous Petrov-Galerkin FEM | |
discretized operators | |
distance Laplacain | |
Domain Decomposition | |
domain decomposition methods | |
E | |
Elliptic optimal control problems | |
elliptic partial differential equations | |
embedding | |
F | |
F-fraction | |
fast diagonalization | |
Fast gradient method | |
finite elasticity | |
Finite Element Method | |
Finite Element Methods | |
finite elements | |
finite-element method | |
Firedrake | |
fractional diffusion equations | |
G | |
GDSW | |
GDSW coarse spaces | |
geometric multigrid | |
geometric multigrid method | |
geometric multigrid methods | |
geometrically-informed algebraic multigrid | |
global convergence | |
GPU | |
GPU (graphical processing units) | |
GPU computing | |
graph convolution networks | |
graph Laplacian | |
graph net | |
Graph Neural Network | |
graphical processing units | |
graphs | |
H | |
H(curl) | |
Helmholtz decomposition | |
Helmholtz equation | |
high order | |
high performance computing | |
High-Order Finite Elements | |
high-order or spectral/hp element | |
high-performance computing | |
Higher Order Finite Elements | |
HPC | |
hybrid hierarchical grids | |
Hybrid method | |
hybrid methods | |
hybridized finite elements | |
hyperbolic | |
I | |
ILU factorization | |
implicit Runge-Kutta | |
implicit solvers | |
incompressible flow | |
Indefinite matrix | |
independence of placement | |
inexact solver on the coarsest level | |
injection operator | |
Interior Penalty | |
Isogeometric Analysis | |
K | |
Krylov acceleration | |
Krylov solvers | |
Krylov subspace methods | |
L | |
Lagrange multiplier | |
lattice and crystal structures | |
layer-parallel training | |
LDG | |
least-square | |
linear systems solvers | |
Local Fourier Analysis | |
low-communication algorithms | |
M | |
machine learning | |
magnetohydrodynamics | |
many-core GPU architectures | |
matrix exponential | |
matrix-free | |
Matrix-valued symbol | |
Maxwell's equations | |
mesh stretching | |
MGRIT | |
mimetic finite-difference method | |
Monolithic multigrid | |
monolithic Schwarz preconditioners | |
mortar methods | |
Multi-grid method | |
Multi-scale training | |
Multi-step time schemes | |
multigrid | |
multigrid in channels | |
multigrid method | |
multigrid preconditioners | |
multigrid reduction in time | |
Multigrid smoothers | |
multigrid-in-time | |
multilevel | |
Multilevel Block Toeplitz matrices | |
Multilevel methods | |
multilevel minimization | |
Multilevel Precondtioner | |
Multilevel Quasi-Monte Carlo | |
multiphysics simulations | |
multiscale | |
Multiscale Methods | |
N | |
Nedlec finite element method | |
neural networks | |
non-Newtonian | |
nonlinear domain decomposition | |
nonlinear elimination | |
nonlinear FETI-DP | |
nonlinear problems | |
nonlinear right preconditioning | |
nonlinear waves | |
Nonnegative Matrix Factorization | |
nonoverlapping domain decomposition | |
nonsymmetric | |
numerical homogenization | |
numerical solution of PDEs | |
O | |
Oberbeck-Boussinesq | |
Optimization | |
optimized Schwarz | |
Oseen problems | |
overlapping Schwarz | |
P | |
p-coarsening | |
p-multigrid | |
p-multigrid methods | |
p-refinement | |
parabolic equations | |
parabolic PDEs | |
parallel computing | |
parallel-in-time | |
Parareal | |
Parareal in time algorithm | |
parareal-like algorithm | |
Partial Differential Equations | |
PDE | |
PDE-constrained optimization | |
Physics-informed Neural Networks | |
Poisson equation | |
polynomial smoothers | |
Preconditioner | |
preconditioners | |
preconditioning | |
R | |
Random Sampling | |
random set | |
Randomized Linear Solver | |
Raviart-Thomas | |
reduced dimension | |
Reinforcement Learning | |
relaxation weight | |
representative volume element | |
robust subspace decomposition | |
row-projection techniques | |
S | |
saddle point formulation | |
saddle point problems | |
saddle point system | |
Schur complement | |
Schwarz | |
Scientific Computing | |
semi-structured | |
Serendipity elements | |
Shared-memory Parallelism | |
Simulated Annealing | |
smoothed aggregation | |
space-time DG | |
space-time finite element methods | |
Spanning Subgraphs | |
Sparse Matrix | |
sparse matrix-matrix multiplications | |
spectral | |
Spectral Analysis | |
spectral distribution | |
Spectral Symbol | |
staggered grids | |
Static condensation | |
Stokes Equations | |
strength-of-connection | |
structure-preserving block preconditioners | |
supervised learning | |
surrogate method | |
Symbol-based Multigrid methods | |
Symmetric Diagonally-dominant Matrix | |
T | |
Time parallel integration | |
Toeplitz-like matrices | |
trust-region method | |
Two-level | |
Two-stage iterations | |
U | |
Uncertainty Quantification | |
unfitted discretization method | |
unified analysis | |
Unimodality | |
unitary transformation | |
V | |
V-cycle | |
Vanka relaxation | |
variational inequalities | |
W | |
Wave propagation |