Examples

Several illustrative examples to help users get started with CDOpt.

• Optimization via SciPy
  • Dictionary Learning
  • Dictionary Learning Accelerated by JIT
  • Discretized 1D Kohn-Sham Equation
  • Low-Rank Nearest Correlation Estimation
  • Bose–Einstein Condensates
  • Symplectic Eigenvalue Problem
• Training Neural Networks with Manifold Constraints via PyTorch
  • Training LeNet with Constrained Convolution Kernels
  • Training Single-Layer RNN with Constrained Weights
  • Training Multi-Layer RNN with Constrained Weights
  • Training LSTM with Constrained Weights
  • Time Sequence Prediction with Orthogonality Constrained LSTM
  • Distributed Training for RNN with Constrained Weights
  • Distributed Training for A Simple Network by Distributed RPC Framework
• Training Neural Networks with Manifold Constraints via JAX and FLAX
  • Training LeNet with Constrained Convolution Kernels by JAX and FLAX