Explanation

This section provides background information on numerical topics and details of optimagic. It is completely optional and not necessary if you are just starting out.

• How constraints are implemented
• Internal optimizers for optimagic
• Why optimization is difficult
• Introduction to basic types of numerical optimization algorithms
• How supported optimization algorithms are tested
• Background and methods