Dummy solver which always fails, but returns the last state of the solver. More...
#include <roboptim/core/plugin/dummy-laststate.hh>
Public Types | |
typedef Solver< T > | parent_t |
Define parent's type. More... | |
typedef parent_t::problem_t | problem_t |
Problem type. More... | |
typedef parent_t::callback_t | callback_t |
Callback function type. More... | |
typedef SolverState< problem_t > | solverState_t |
Type of the state of the solver. More... | |
Public Types inherited from roboptim::Solver< T > | |
typedef Problem< T > | problem_t |
Solver problem type. More... | |
typedef GenericFunction< T > ::vector_t | vector_t |
Import vector type from cost function. More... | |
typedef std::map< std::string, Parameter > | parameters_t |
Map of parameters. More... | |
typedef SolverState< problem_t > | solverState_t |
State of the solver. More... | |
typedef boost::function< void(const problem_t &problem, solverState_t &state)> | callback_t |
Per-iteration callback type. More... | |
Public Types inherited from roboptim::GenericSolver | |
enum | solutions { SOLVER_NO_SOLUTION, SOLVER_VALUE, SOLVER_ERROR, SOLVER_VALUE_WARNINGS } |
Define the kind of solution which has been found. More... | |
Public Member Functions | |
GenericDummySolverLastState (const problem_t &problem) | |
Build a solver from a problem. More... | |
virtual | ~GenericDummySolverLastState () |
virtual void | solve () |
Implement the solve algorithm. More... | |
virtual void | setIterationCallback (callback_t callback) |
Set the per-iteration callback. More... | |
const callback_t & | callback () const |
Public Member Functions inherited from roboptim::Solver< T > | |
Solver (const problem_t &problem) | |
Instantiate a solver from a problem. More... | |
virtual | ~Solver () |
const problem_t & | problem () const |
Retrieve the problem. More... | |
virtual std::ostream & | print (std::ostream &) const |
Display the solver on the specified output stream. More... | |
const parameters_t & | parameters () const |
parameters_t & | parameters () |
template<typename U > | |
const U & | getParameter (const std::string &key) const |
const std::string & | pluginName () const |
std::string & | pluginName () |
Public Member Functions inherited from roboptim::GenericSolver | |
void | reset () |
Force to restart the optimization. More... | |
const result_t & | minimum () |
Returns the function minimum. More... | |
solutions | minimumType () |
Determine real minimum type. More... | |
template<typename T > | |
const T & | getMinimum () |
Get real result. More... | |
GenericSolver () | |
GenericSolver (const GenericSolver &) | |
virtual | ~GenericSolver () |
Public Attributes | |
callback_t | callback_ |
Intermediate callback (called at each end of iteration). More... | |
solverState_t | solverState_ |
Current state of the solver (used by the callback function). More... | |
Additional Inherited Members | |
Protected Attributes inherited from roboptim::Solver< T > | |
const problem_t | problem_ |
Problem that will be solved. More... | |
parameters_t | parameters_ |
Solver parameters (run-time configuration). More... | |
std::string | plugin_name_ |
Plugin name. More... | |
Dummy solver which always fails, but returns the last state of the solver.
The SolverError generated contains a dummy state of the solver (x, constraints etc.). These values can be obtained thanks to SolverError::lastState.
This solver always fails but is always available as it does not rely on the plug-in mechanism.
It is also a good starting point for users that want to develop their own solver.
typedef parent_t::callback_t roboptim::GenericDummySolverLastState< T >::callback_t |
Callback function type.
typedef Solver<T> roboptim::GenericDummySolverLastState< T >::parent_t |
Define parent's type.
typedef parent_t::problem_t roboptim::GenericDummySolverLastState< T >::problem_t |
Problem type.
typedef SolverState<problem_t> roboptim::GenericDummySolverLastState< T >::solverState_t |
Type of the state of the solver.
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explicit |
Build a solver from a problem.
problem | problem that will be solved |
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virtual |
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inline |
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inlinevirtual |
Set the per-iteration callback.
The per-iteration callback is a callback called each time one iteration of the optimization process is finished.
Not all the solvers support such a callback so this method may throw a std::runtime_error to let you know this feature is unsupported.
std::runtime_error |
Reimplemented from roboptim::Solver< T >.
References roboptim::GenericDummySolverLastState< T >::callback(), and roboptim::GenericDummySolverLastState< T >::callback_.
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virtual |
Implement the solve algorithm.
Implement the solve method as required by the GenericSolver class.
Implements roboptim::GenericSolver.
References roboptim::Result::constraints, roboptim::Result::lambda, result_, roboptim::Result::value, and roboptim::Result::x.
callback_t roboptim::GenericDummySolverLastState< T >::callback_ |
Intermediate callback (called at each end of iteration).
Referenced by roboptim::GenericDummySolverLastState< T >::callback(), and roboptim::GenericDummySolverLastState< T >::setIterationCallback().
solverState_t roboptim::GenericDummySolverLastState< T >::solverState_ |
Current state of the solver (used by the callback function).