Symbol | Meaning |
---|---|
matrix | |
learning rate or step size | |
boundary of computational domain |
|
generic function to be approximated, typically unknown | |
approximate version of |
|
computational domain | |
continuous/ideal physical model | |
discretized physical model, PDE | |
neural network params | |
time dimension | |
vector-valued velocity | |
neural network input or spatial coordinate | |
neural network output | |
learning targets: ground truth, reference or observation data |
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 |