A constraint on the values of multivariate polynomials. 
* lb[i] ≤ P[i](x, y...) ≤ ub[i],
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 where each P[i] is a multivariate polynomial in x, y...
The Polynomial class uses a different variable naming scheme; thus the caller must provide a list of Polynomial::VarType variables that correspond to the members of the MathematicalProgram::Binding (the individual scalar elements of the given VariableList). 
 
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|   | PolynomialConstraint (const VectorXPoly &polynomials, const std::vector< Polynomiald::VarType > &poly_vars, const Eigen::VectorXd &lb, const Eigen::VectorXd &ub) | 
|   | Constructs a polynomial constraint.  More...
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|   | ~PolynomialConstraint () override | 
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| const VectorXPoly &  | polynomials () const | 
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| const std::vector< Polynomiald::VarType > &  | poly_vars () const | 
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|   | PolynomialConstraint (const PolynomialConstraint &)=delete | 
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| PolynomialConstraint &  | operator= (const PolynomialConstraint &)=delete | 
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|   | PolynomialConstraint (PolynomialConstraint &&)=delete | 
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| PolynomialConstraint &  | operator= (PolynomialConstraint &&)=delete | 
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|   | EvaluatorConstraint (const std::shared_ptr< PolynomialEvaluator > &evaluator, Args &&... args) | 
|   | Constructs an evaluator constraint, given the EvaluatorType instance (which will specify the number of constraints and variables), and will forward the remaining arguments to the Constraint constructor.  More...
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| 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...
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| void  | UpdateLowerBound (const Eigen::Ref< const Eigen::VectorXd > &new_lb) | 
|   | Updates the lower bound.  More...
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| void  | UpdateUpperBound (const Eigen::Ref< const Eigen::VectorXd > &new_ub) | 
|   | Updates the upper bound.  More...
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|   | EvaluatorConstraint (const EvaluatorConstraint &)=delete | 
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|   | EvaluatorConstraint (EvaluatorConstraint &&)=delete | 
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| EvaluatorConstraint &  | operator= (const EvaluatorConstraint &)=delete | 
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| EvaluatorConstraint &  | operator= (EvaluatorConstraint &&)=delete | 
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| 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...
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|   | 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...
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| 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...
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| bool  | CheckSatisfied (const Eigen::Ref< const AutoDiffVecXd > &x, double tol=1E-6) const | 
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| symbolic::Formula  | CheckSatisfied (const Eigen::Ref< const VectorX< symbolic::Variable >> &x) const | 
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| const Eigen::VectorXd &  | lower_bound () const | 
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| const Eigen::VectorXd &  | upper_bound () const | 
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| int  | num_constraints () const | 
|   | Number of rows in the output constraint.  More...
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|   | Constraint (const Constraint &)=delete | 
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| Constraint &  | operator= (const Constraint &)=delete | 
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|   | Constraint (Constraint &&)=delete | 
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| Constraint &  | operator= (Constraint &&)=delete | 
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| virtual  | ~EvaluatorBase () | 
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| void  | Eval (const Eigen::Ref< const Eigen::VectorXd > &x, Eigen::VectorXd *y) const | 
|   | Evaluates the expression.  More...
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| void  | Eval (const Eigen::Ref< const AutoDiffVecXd > &x, AutoDiffVecXd *y) const | 
|   | Evaluates the expression.  More...
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| void  | Eval (const Eigen::Ref< const VectorX< symbolic::Variable >> &x, VectorX< symbolic::Expression > *y) const | 
|   | Evaluates the expression.  More...
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| void  | set_description (const std::string &description) | 
|   | Set a human-friendly description for the evaluator.  More...
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| const std::string &  | get_description () const | 
|   | Getter for a human-friendly description for the evaluator.  More...
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| 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...
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| std::ostream &  | Display (std::ostream &os) const | 
|   | Formats this evaluator into the given stream, without displaying the decision variables it is bound to.  More...
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| std::string  | ToLatex (const VectorX< symbolic::Variable > &vars, int precision=3) const | 
|   | Returns a LaTeX string describing this evaluator.  More...
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| int  | num_vars () const | 
|   | Getter for the number of variables, namely the number of rows in x, as used in Eval(x, y).  More...
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| int  | num_outputs () const | 
|   | Getter for the number of outputs, namely the number of rows in y, as used in Eval(x, y).  More...
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| 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...
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| 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...
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| bool  | is_thread_safe () const | 
|   | Returns whether it is safe to call Eval in parallel.  More...
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|   | EvaluatorBase (const EvaluatorBase &)=delete | 
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| EvaluatorBase &  | operator= (const EvaluatorBase &)=delete | 
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|   | EvaluatorBase (EvaluatorBase &&)=delete | 
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| EvaluatorBase &  | operator= (EvaluatorBase &&)=delete | 
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