Reference guide¶
The package is mainly organized around two class hierarchies: the functions and
the solvers. Instantiated functions represent convex functions to optimize.
Instantiated solvers represent solving algorithms. The
pyunlocbox.solvers.solve()
solving function takes as parameters a solver
object and some function objects to actually solve the optimization problem.
See this function’s documentation for a typical usage example.
The pyunlocbox
package is divided into the following modules:
functions
: objective functions to define an optimization problem,solvers
: the main solving function and common solvers,acceleration
: general acceleration schemes for various solvers,operators
: some operators.