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Augmented Lagrangian methods for constrained optimization
This module implements augmented Lagrangian methods (also known as method of multipliers) for solving constrained optimization problems. These methods transform constrained problems into a sequence of unconstrained problems by augmenting the objective function with penalty terms and Lagrange multiplier estimates.
Structs§
- Augmented
Lagrangian Options - Options for augmented Lagrangian method
- Augmented
Lagrangian Result - Result from augmented Lagrangian optimization
Functions§
- minimize_
augmented_ lagrangian - Minimize a function subject to constraints using augmented Lagrangian method
- minimize_
equality_ constrained - Minimize with equality constraints only
- minimize_
inequality_ constrained - Minimize with inequality constraints only