API Reference

This section contains the complete API reference for rlaopt, automatically generated from the source code.

• Expression Module
  • Core Classes
• Atoms Module
  • Base Classes
  • Regularizers
  • Constraints
  • Regression Models
• Solvers Module
  • Alternating Direction Method of Multipliers
  • Proximal Gradient
  • Preconditioned Conjugate Gradient
  • Convergence Status
• Linear Algebra Module
  • Linear System
  • Preconditioner Configuration
• Data Module
  • Datasets
  • Data Loading

Expression Module

The Expression Module module provides the core expression classes for building symbolic optimization problems.

Atoms Module

The Atoms Module module contains optimization atoms - pre-built mathematical functions for use in objectives and constraints.

Solvers Module

The Solvers Module module provides optimization algorithms for solving problems.

Linear Algebra Module

The Linear Algebra Module module contains linear algebra utilities and preconditioners.

Data Module

The Data Module module provides dataset and dataloader classes for handling machine learning data.