Optimization Models

The Model Class

The Model class provides is used to specify an optimization model. This class includes the following:

1. Methods for adding and getting variables, objectives and constraints. This includes methods that summarize the number of these modeling components, as well as specialized methods to get just the names of these components.

2. Methods to set and get suffix data, which is used to annotate models. The different components in a model can be annotated, as well as the model itself.

3. Methods for writing models in standard forms, and for printing model data to output streams.

The NLPModel Class

The NLPModel class is used to wrap a Model in a manner that is suitable for solving continuous nonlinear programming problems. The NLPModel class provides methods that encapsulate the evaluation of objectives, gradients, constraints, Jacobians and the Hessian of the Lagrangian. These are key kernels required by nonlinear programming solvers, and this class facilitates optimization with these methods.