SCICO Documentation

User Documentation

• Overview
  • Contributing
  • License
• Inverse Problems
  • Forward Modeling
  • Inverse Problem Formulation
  • Solvers
  • Machine Learning
• Why SCICO?
  • Advantages of JAX-based Design
  • Related Packages
• Installing SCICO
  • From PyPI
  • From GitHub
  • GPU Support
  • Additional Dependencies
  • For Developers
• Main SCICO Classes
  • BlockArray
  • Operators
  • Linear Operators
  • Functionals
  • Optimization Algorithms
  • Learned Models
• Notes
  • No GPU/TPU Warning
  • Debugging
  • Double Precision
  • Random Number Generation
  • Compiled Dependency Packages
  • Automatic Differentiation Caveats
  • JAX Arrays
• Usage Examples
  • Example Dependencies
  • Run Time
  • Organized by Application
  • Organized by Regularization
  • Organized by Optimization Algorithm
• API Reference
  • scico.data
  • scico.denoiser
  • scico.diagnostics
  • scico.examples
  • scico.flax
  • scico.function
  • scico.functional
  • scico.linop
  • scico.loss
  • scico.metric
  • scico.numpy
  • scico.operator
  • scico.optimize
  • scico.plot
  • scico.random
  • scico.ray
  • scico.scipy
  • scico.solver
  • scico.typing
  • scico.util
  • custom_jvp
  • custom_vjp
  • hessian
  • jacfwd
  • jvp
  • linearize
  • vjp
  • cvjp
  • grad
  • jacrev
  • linear_adjoint
  • value_and_grad
• References

Developer Documentation

• Developers
  • Core Developers
  • Emeritus Developers
  • Contributors
• Contributing
  • Installing a Development Version
  • Building Documentation
  • Contributing Code
  • Adding Data
  • Type Checking
  • Tests
  • Usage Examples
• Style Guide
  • Overview
  • Naming
  • Displaying and Printing Strings
  • Imports
  • Variables
  • Parameters
  • Docstrings
  • Documentation

Indices

• Index

• Module Index