Drake
Drake C++ Documentation
LinearComplementarityConstraint Class Reference

Detailed Description

Implements a constraint of the form:

  Mx + q ≥ 0
  x ≥ 0
  x'(Mx + q) == 0

Often this is summarized with the short-hand:

  0 ≤ z ⊥ Mz+q ≥ 0

An implied slack variable complements any 0 component of x. To get the slack values at a given solution x, use Eval(x).

#include <drake/solvers/constraint.h>

Public Member Functions

template<typename DerivedM , typename Derivedq >
 LinearComplementarityConstraint (const Eigen::MatrixBase< DerivedM > &M, const Eigen::MatrixBase< Derivedq > &q)
 
 ~LinearComplementarityConstraint () override
 
const Eigen::MatrixXd & M () const
 
const Eigen::VectorXd & q () const
 
Does not allow copy, move, or assignment
 LinearComplementarityConstraint (const LinearComplementarityConstraint &)=delete
 
LinearComplementarityConstraintoperator= (const LinearComplementarityConstraint &)=delete
 
 LinearComplementarityConstraint (LinearComplementarityConstraint &&)=delete
 
LinearComplementarityConstraintoperator= (LinearComplementarityConstraint &&)=delete
 
- Public Member Functions inherited from Constraint
template<typename DerivedLB , typename DerivedUB >
 Constraint (int num_constraints, int num_vars, const Eigen::MatrixBase< DerivedLB > &lb, const Eigen::MatrixBase< DerivedUB > &ub, const std::string &description="")
 Constructs a constraint which has num_constraints rows, with an input num_vars x 1 vector. More...
 
 Constraint (int num_constraints, int num_vars)
 Constructs a constraint which has num_constraints rows, with an input num_vars x 1 vector, with no bounds. More...
 
bool CheckSatisfied (const Eigen::Ref< const Eigen::VectorXd > &x, double tol=1E-6) const
 Return whether this constraint is satisfied by the given value, x. More...
 
bool CheckSatisfied (const Eigen::Ref< const AutoDiffVecXd > &x, double tol=1E-6) const
 
symbolic::Formula CheckSatisfied (const Eigen::Ref< const VectorX< symbolic::Variable >> &x) const
 
const Eigen::VectorXd & lower_bound () const
 
const Eigen::VectorXd & upper_bound () const
 
int num_constraints () const
 Number of rows in the output constraint. More...
 
 Constraint (const Constraint &)=delete
 
Constraintoperator= (const Constraint &)=delete
 
 Constraint (Constraint &&)=delete
 
Constraintoperator= (Constraint &&)=delete
 
- Public Member Functions inherited from EvaluatorBase
virtual ~EvaluatorBase ()
 
void Eval (const Eigen::Ref< const Eigen::VectorXd > &x, Eigen::VectorXd *y) const
 Evaluates the expression. More...
 
void Eval (const Eigen::Ref< const AutoDiffVecXd > &x, AutoDiffVecXd *y) const
 Evaluates the expression. More...
 
void Eval (const Eigen::Ref< const VectorX< symbolic::Variable >> &x, VectorX< symbolic::Expression > *y) const
 Evaluates the expression. More...
 
void set_description (const std::string &description)
 Set a human-friendly description for the evaluator. More...
 
const std::string & get_description () const
 Getter for a human-friendly description for the evaluator. More...
 
std::ostream & Display (std::ostream &os, const VectorX< symbolic::Variable > &vars) const
 Formats this evaluator into the given stream using vars for the bound decision variable names. More...
 
std::ostream & Display (std::ostream &os) const
 Formats this evaluator into the given stream, without displaying the decision variables it is bound to. More...
 
std::string ToLatex (const VectorX< symbolic::Variable > &vars, int precision=3) const
 Returns a LaTeX string describing this evaluator. More...
 
int num_vars () const
 Getter for the number of variables, namely the number of rows in x, as used in Eval(x, y). More...
 
int num_outputs () const
 Getter for the number of outputs, namely the number of rows in y, as used in Eval(x, y). More...
 
void SetGradientSparsityPattern (const std::vector< std::pair< int, int >> &gradient_sparsity_pattern)
 Set the sparsity pattern of the gradient matrix ∂y/∂x (the gradient of y value in Eval, w.r.t x in Eval) . More...
 
const std::optional< std::vector< std::pair< int, int > > > & gradient_sparsity_pattern () const
 Returns the vector of (row_index, col_index) that contains all the entries in the gradient of Eval function (∂y/∂x) whose value could be non-zero, namely if ∂yᵢ/∂xⱼ could be non-zero, then the pair (i, j) is in gradient_sparsity_pattern. More...
 
bool is_thread_safe () const
 Returns whether it is safe to call Eval in parallel. More...
 
 EvaluatorBase (const EvaluatorBase &)=delete
 
EvaluatorBaseoperator= (const EvaluatorBase &)=delete
 
 EvaluatorBase (EvaluatorBase &&)=delete
 
EvaluatorBaseoperator= (EvaluatorBase &&)=delete
 

Protected Member Functions

void DoEval (const Eigen::Ref< const Eigen::VectorXd > &x, Eigen::VectorXd *y) const override
 Implements expression evaluation for scalar type double. More...
 
void DoEval (const Eigen::Ref< const AutoDiffVecXd > &x, AutoDiffVecXd *y) const override
 Implements expression evaluation for scalar type AutoDiffXd. More...
 
void DoEval (const Eigen::Ref< const VectorX< symbolic::Variable >> &x, VectorX< symbolic::Expression > *y) const override
 Implements expression evaluation for scalar type symbolic::Expression. More...
 
bool DoCheckSatisfied (const Eigen::Ref< const Eigen::VectorXd > &x, const double tol) const override
 
bool DoCheckSatisfied (const Eigen::Ref< const AutoDiffVecXd > &x, const double tol) const override
 
symbolic::Formula DoCheckSatisfied (const Eigen::Ref< const VectorX< symbolic::Variable >> &x) const override
 
std::string DoToLatex (const VectorX< symbolic::Variable > &, int) const override
 
- Protected Member Functions inherited from Constraint
void UpdateLowerBound (const Eigen::Ref< const Eigen::VectorXd > &new_lb)
 Updates the lower bound. More...
 
void UpdateUpperBound (const Eigen::Ref< const Eigen::VectorXd > &new_ub)
 Updates the upper bound. More...
 
void set_bounds (const Eigen::Ref< const Eigen::VectorXd > &new_lb, const Eigen::Ref< const Eigen::VectorXd > &new_ub)
 Set the upper and lower bounds of the constraint. More...
 
- Protected Member Functions inherited from EvaluatorBase
 EvaluatorBase (int num_outputs, int num_vars, const std::string &description="")
 Constructs a evaluator. More...
 
virtual std::ostream & DoDisplay (std::ostream &os, const VectorX< symbolic::Variable > &vars) const
 NVI implementation of Display. More...
 
void set_num_outputs (int num_outputs)
 
void set_is_thread_safe (bool is_thread_safe)
 

Constructor & Destructor Documentation

◆ LinearComplementarityConstraint() [1/3]

◆ LinearComplementarityConstraint() [2/3]

◆ LinearComplementarityConstraint() [3/3]

LinearComplementarityConstraint ( const Eigen::MatrixBase< DerivedM > &  M,
const Eigen::MatrixBase< Derivedq > &  q 
)

◆ ~LinearComplementarityConstraint()

Member Function Documentation

◆ DoCheckSatisfied() [1/3]

bool DoCheckSatisfied ( const Eigen::Ref< const Eigen::VectorXd > &  x,
const double  tol 
) const
overrideprotectedvirtual

Reimplemented from Constraint.

◆ DoCheckSatisfied() [2/3]

bool DoCheckSatisfied ( const Eigen::Ref< const AutoDiffVecXd > &  x,
const double  tol 
) const
overrideprotectedvirtual

Reimplemented from Constraint.

◆ DoCheckSatisfied() [3/3]

symbolic::Formula DoCheckSatisfied ( const Eigen::Ref< const VectorX< symbolic::Variable >> &  x) const
overrideprotectedvirtual

Reimplemented from Constraint.

◆ DoEval() [1/3]

void DoEval ( const Eigen::Ref< const Eigen::VectorXd > &  x,
Eigen::VectorXd *  y 
) const
overrideprotectedvirtual

Implements expression evaluation for scalar type double.

Parameters
xInput vector.
yOutput vector.
Precondition
x must be of size num_vars x 1.
Postcondition
y will be of size num_outputs x 1.

Implements EvaluatorBase.

◆ DoEval() [2/3]

void DoEval ( const Eigen::Ref< const AutoDiffVecXd > &  x,
AutoDiffVecXd y 
) const
overrideprotectedvirtual

Implements expression evaluation for scalar type AutoDiffXd.

Parameters
xInput vector.
yOutput vector.
Precondition
x must be of size num_vars x 1.
Postcondition
y will be of size num_outputs x 1.

Implements EvaluatorBase.

◆ DoEval() [3/3]

void DoEval ( const Eigen::Ref< const VectorX< symbolic::Variable >> &  x,
VectorX< symbolic::Expression > *  y 
) const
overrideprotectedvirtual

Implements expression evaluation for scalar type symbolic::Expression.

Parameters
[in]xInput vector.
[out]yOutput vector.
Precondition
x must be of size num_vars x 1.
Postcondition
y will be of size num_outputs x 1.

Implements EvaluatorBase.

◆ DoToLatex()

std::string DoToLatex ( const VectorX< symbolic::Variable > &  ,
int   
) const
overrideprotectedvirtual

Reimplemented from EvaluatorBase.

◆ M()

const Eigen::MatrixXd& M ( ) const

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ q()

const Eigen::VectorXd& q ( ) const

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