Inheritance diagram for lpint::LinearProgramHandleGurobi:

Public Member Functions
	LinearProgramHandleGurobi (detail::Badge< GurobiSolver >, std::shared_ptr< GRBmodel > grbmodel, std::shared_ptr< GRBenv > grbenv)

std::size_t	num_vars () const override
	Get the number of variables in the LP.

std::size_t	num_constraints () const override
	Get the number of cosntraints in the LP.

void	set_objective_sense (const OptimizationType objsense) override
	Set the objective sense of this ILinearProgramHandle. The Optimization type can be either OptimizationType::Minimize or OptimizationType::Maximize, which correspond to the LP formulations min c^T * x and max c^T * x, respectively.

Variable	variable (std::size_t i) const override
	Retrieve variable i from the internal LP solver. More...

std::vector< Variable >	variables () const override
	Retrieve the variables from the internal LP solver. More...

void	add_variables (const std::vector< Variable > &vars) override
	Add variables to the LP. More...

void	add_variables (const std::size_t num_vars) override
	Add num_vars non-negative variables to the LP. To be called before settings the objective function.

void	add_constraints (const std::vector< Constraint< double >> &constraints) override
	Add a set of constraints to the LP formulation. This can only be called after calling set_objective().

void	remove_variable (const std::size_t i) override
	Remove a variable from the LP. More...

void	remove_constraint (std::size_t i) override
	Remove a constraint from the LP. More...

OptimizationType	optimization_type () const override
	Retrieve the objective sense of this ILinearProgramHandle. The Optimization type can be either OptimizationType::Minimize or OptimizationType::Maximize, which correspond to the LP formulations min c^T * x and max c^T * x, respectively.

void	set_objective (const Objective< double > &objective) override
	Set the objective function to be used. This method must be called before calling add_constraints().

virtual Constraint< double >	constraint (std::size_t i) const override
	Retrieve constraint i of the internal LP. This method requests a constraint from the internal LP solver backend, copies it, and returns it. Since constraints have to be copied from the backend, this can be an expensive operation, and so should be used sparingly. More...

std::vector< Constraint< double > >	constraints () const override
	Retrieve the constraints of the internal LP. This method requests the constraints from the internal LP solver backend, copies them, and returns them in a vector. Since the constraints have to be copied from the backend, this can be quite an expensive operation, and so should not be called in a loop. More...

Objective< double >	objective () const override
	Retrieve the objective function of the internal LP. This method requests the objective function values from the LP backend, copies them, and returns them. Since the objective values have to be copied from the backend, this can be quite an expensive operation, and so should not be called in a loop. More...

std::shared_ptr< GRBmodel >	gurobi_model (detail::Badge< GurobiSolver >) const

std::shared_ptr< GRBenv >	gurobi_env (detail::Badge< GurobiSolver >) const

void	set_num_vars (detail::Badge< GurobiSolver >, std::size_t nvars)

Public Member Functions inherited from lpint::ILinearProgramHandle
	ILinearProgramHandle (const ILinearProgramHandle &)=default

	ILinearProgramHandle (ILinearProgramHandle &&)=default

ILinearProgramHandle &	operator= (const ILinearProgramHandle &)=default

ILinearProgramHandle &	operator= (ILinearProgramHandle &&)=default

Member Function Documentation

void lpint::LinearProgramHandleGurobi::add_variables ( const std::vector< Variable > & vars )

overridevirtual

Add variables to the LP.

Parameters

vars	Vector of variables to add.

Implements lpint::ILinearProgramHandle.

virtual Constraint<double> lpint::LinearProgramHandleGurobi::constraint ( std::size_t i ) const

overridevirtual

Retrieve constraint i of the internal LP. This method requests a constraint from the internal LP solver backend, copies it, and returns it. Since constraints have to be copied from the backend, this can be an expensive operation, and so should be used sparingly.

Parameters

i	Index of constraint.

Returns: Constraint<double>

Implements lpint::ILinearProgramHandle.

std::vector<Constraint<double> > lpint::LinearProgramHandleGurobi::constraints ( ) const

overridevirtual

Retrieve the constraints of the internal LP. This method requests the constraints from the internal LP solver backend, copies them, and returns them in a vector. Since the constraints have to be copied from the backend, this can be quite an expensive operation, and so should not be called in a loop.

Returns: std::vector<Constraint<double>>

Implements lpint::ILinearProgramHandle.

Objective<double> lpint::LinearProgramHandleGurobi::objective ( ) const

overridevirtual

Retrieve the objective function of the internal LP. This method requests the objective function values from the LP backend, copies them, and returns them. Since the objective values have to be copied from the backend, this can be quite an expensive operation, and so should not be called in a loop.