optas.solver.CVXOPTSolver Class Reference

CVXOPT solver interface. More...

Inheritance diagram for optas.solver.CVXOPTSolver:

Collaboration diagram for optas.solver.CVXOPTSolver:

Public Member Functions
def	setup (self, Dict solver_settings={})
	Setup the cvxopt solver interface. More...
def	reset_parameters (self, Dict[str, ArrayType] p)
	Reset the parameters. More...
def	stats (self)
	Statistics relating to the previous call to solve. More...
def	did_solve (self)
	Returns True when the problem was solved. More...
def	number_of_iterations (self)
	Number of iterations it took the solver to converge. More...
Public Member Functions inherited from optas.solver.Solver
def	__init__ (self, Optimization optimization, bool error_on_fail=False)
	Constructor for the base Solver class. More...
type	opt_type (self)
	Optimization type. More...
def	setup (self, *args, **kwargs)
	Setup solver, note this method must return self. More...
None	reset_initial_seed (self, Dict[str, ArrayType] x0)
	Reset initial seed for the optimization problem. More...
Dict	solve (self)
	Solve the optimization problem. More...
Tuple	violated_constraints (self, Dict[str, ArrayType] x, Dict[str, ArrayType] p)
	Indicate the violated constraints. More...
CasADiArrayType	evaluate_cost (self, Dict[str, ArrayType] x, Dict[str, ArrayType] p)
	Evaluates the cost function for given decision variables x and parameters p. More...
List	evaluate_cost_terms (self, Dict[str, ArrayType] x, Dict[str, ArrayType] p)
	Evaluates each cost term for given decision variables and parameters. More...

Private Member Functions
def	_reset_parameters (self)
	Internal method to reset parameters. More...
CasADiArrayType	_solve (self)
	Solve the optimization problem using CVXOPT. More...

Private Attributes
	_solver_input
	Input to the solver. More...
	_solution

Additional Inherited Members
Static Public Member Functions inherited from optas.solver.Solver
interp1d	interpolate (cs.DM traj, float T, **interp_args)
	Interpolate a trajectory. More...
Public Attributes inherited from optas.solver.Solver
	opt
	Instance of the optimization problem. More...
	x0
	Initial guess for the optimization problem (set using reset_initial_seed). More...
	p
	Parameter vector. More...

Detailed Description

CVXOPT solver interface.

Member Function Documentation

_reset_parameters()

def optas.solver.CVXOPTSolver._reset_parameters (   self )

private

Internal method to reset parameters.

_solve()

CasADiArrayType optas.solver.CVXOPTSolver._solve (   self )

private

Solve the optimization problem using CVXOPT.

   @return The solution of the optimization problem.

Reimplemented from optas.solver.Solver.

did_solve()

def optas.solver.CVXOPTSolver.did_solve

(

self

)

Returns True when the problem was solved.

   @return Boolean indicating if the solver converged.

Reimplemented from optas.solver.Solver.

number_of_iterations()

def optas.solver.CVXOPTSolver.number_of_iterations

(

self

)

Number of iterations it took the solver to converge.

   @return Number of iterations.

Reimplemented from optas.solver.Solver.

reset_parameters()

def optas.solver.CVXOPTSolver.reset_parameters	(		self,
		Dict[str, ArrayType]	p
	)

Reset the parameters.

   @param p The values for the parameters.

Reimplemented from optas.solver.Solver.

setup()

def optas.solver.CVXOPTSolver.setup	(		self,
		Dict	solver_settings = {}
	)

Setup the cvxopt solver interface.

   @param solver_settings Settings passed to the CVXOPT solver.
   @return The instance of the solve (i.e. self).

stats()

def optas.solver.CVXOPTSolver.stats

(

self

)

Statistics relating to the previous call to solve.

   @return Dictionary containing the statistics.

Reimplemented from optas.solver.Solver.

Member Data Documentation

_solution

optas.solver.CVXOPTSolver._solution

private

_solver_input

optas.solver.CVXOPTSolver._solver_input

private

Input to the solver.

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The documentation for this class was generated from the following file:

• solver.py