Notation and Abbreviations
Symbol
Meaning
$A$
matrix
$\eta$
learning rate or step size
$\Gamma$
boundary of computational domain $\Omega$
$f^{*}$
generic function to be approximated, typically unknown
$f$
approximate version of $f^{*}$
$\Omega$
computational domain
$\mathcal P^*$
continuous/ideal physical model
$\mathcal P$
discretized physical model, PDE
$\theta$
neural network params
$t$
time dimension
$\mathbf{u}$
vector-valued velocity
$x$
neural network input or spatial coordinate
$y$
neural network output
Summary of the most important abbreviations:
ABbreviation
Meaning
BNN
Bayesian neural network
CNN
Convolutional neural network
DL
Deep Learning
GD
(steepest) Gradient Descent
MLP
Multi-Layer Perceptron, a neural network with fully connected layers
NN
Neural network (a generic one, in contrast to, e.g., a CNN or MLP)
PDE
Partial Differential Equation
PBDL
Physics-Based Deep Learning
SGD
Stochastic Gradient Descent
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