Module reference

This section contains detailed information about the modules and classes in csnlp. First, we introduce the main components of the package, which are likely to be the ones most users will employe. Then, the rest of the package is presented in details.

Main classes and submodules

Nlp([sym_type, remove_redundant_x_bounds, ...])	The generic NLP class is a controller that solves a (possibly, nonlinear) optimization problem to yield a (possibly, sub-) optimal solution.
Solution(*args, **kwargs)	Class containing information on the solution of a solver's run for an instance of csnlp.Nlp.

multistart	A module that provides parallelization of optimization problems for multistarting.
wrappers	A module to provide wrappers to enhance the NLP class's capabilities.

Other submodules

core	This module contains the core components, aside csnlp.Nlp and its base classes, that are used to build the package.
nlps	A module for defining NLPs and its building blocks.
util	A module with utility functions and classes around and for optimization.