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Welcome to Suite’s documentation!
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Welcome to Suite’s documentation!
¶
NumSA
Getting Started
PyBind11
Eigen
TFHessian
FEM
Bibliography
TensorFlow
Hessian Example
Cubic Lost Function and Taylor Expansion
Very Small Neural Network Built With KERAS
Hessian Based Training
MNIST Neural Network Example
Random SVD
Newton Method
Quadratic Energy Minimization
Regression
Quasi-Newton Method
MPI
Federated Newton Learn
Vanilla Newton
FEDNL Rank 1 Compression
FEDNL With Diagonal Regularisation And Different Initial Hessian
FEDNL LowRank + Diagonal
Physically Informed Neural Network
Example - 1D Poisson (DNN3
\(\sigma = \tanh\)
)
Example - 1D Poisson (DNN3
\(\sigma = \tanh\)
)
Example - 2D Poisson (DNN1
\(\sigma = \tanh\)
)
Example - 2D Poisson (DNN1 Sigmoid)
Partial Differential Equations (PDE)
Eigenvalue Problem (NGS)
Pattern Formation PDE (FD)
Reaction
Diffusion
Reaction-Diffusion
Efficient Reaction Diffusion
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Index
Module Index
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