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

Indices

• Index

• Module Index

• Search Page