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notation.md

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Notation and Abbreviations

Math notation:

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
$y^*$ learning targets: ground truth, reference or observation data

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