Implements a spectrahedron (the feasible set of a semidefinite program).
The ambient dimension of the set is N(N+1)/2; the number of variables required to describe the N-by-N semidefinite matrix.
By convention, a zero-dimensional spectrahedron is considered nonempty.
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| Spectrahedron () |
| Default constructor (yields the zero-dimensional nonempty set). More...
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| Spectrahedron (const solvers::MathematicalProgram &prog) |
| Constructs the spectrahedron from a MathematicalProgram. More...
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| ~Spectrahedron () final |
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double | CalcVolume () const |
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bool | IsBounded (Parallelism parallelism=Parallelism::None()) const |
| Spectrahedron uses the generic method for boundedness checking, which uses parallelism . More...
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| Spectrahedron (const Spectrahedron &)=default |
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Spectrahedron & | operator= (const Spectrahedron &)=default |
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| Spectrahedron (Spectrahedron &&)=default |
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Spectrahedron & | operator= (Spectrahedron &&)=default |
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virtual | ~ConvexSet () |
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std::unique_ptr< ConvexSet > | Clone () const |
| Creates a unique deep copy of this set. More...
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int | ambient_dimension () const |
| Returns the dimension of the vector space in which the elements of this set are evaluated. More...
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bool | IntersectsWith (const ConvexSet &other) const |
| Returns true iff the intersection between this and other is non-empty. More...
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bool | IsBounded (Parallelism parallelism=Parallelism::None()) const |
| Returns true iff the set is bounded, e.g., there exists an element-wise finite lower and upper bound for the set. More...
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bool | IsEmpty () const |
| Returns true iff the set is empty. More...
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std::optional< Eigen::VectorXd > | MaybeGetPoint () const |
| If this set trivially contains exactly one point, returns the value of that point. More...
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std::optional< Eigen::VectorXd > | MaybeGetFeasiblePoint () const |
| Returns a feasible point within this convex set if it is nonempty, and nullopt otherwise. More...
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bool | PointInSet (const Eigen::Ref< const Eigen::VectorXd > &x, double tol=0) const |
| Returns true iff the point x is contained in the set. More...
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std::pair< VectorX< symbolic::Variable >, std::vector< solvers::Binding< solvers::Constraint > > > | AddPointInSetConstraints (solvers::MathematicalProgram *prog, const Eigen::Ref< const solvers::VectorXDecisionVariable > &vars) const |
| Adds a constraint to an existing MathematicalProgram enforcing that the point defined by vars is inside the set. More...
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std::vector< solvers::Binding< solvers::Constraint > > | AddPointInNonnegativeScalingConstraints (solvers::MathematicalProgram *prog, const Eigen::Ref< const solvers::VectorXDecisionVariable > &x, const symbolic::Variable &t) const |
| Let S be this convex set. More...
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std::vector< solvers::Binding< solvers::Constraint > > | AddPointInNonnegativeScalingConstraints (solvers::MathematicalProgram *prog, const Eigen::Ref< const Eigen::MatrixXd > &A, const Eigen::Ref< const Eigen::VectorXd > &b, const Eigen::Ref< const Eigen::VectorXd > &c, double d, const Eigen::Ref< const solvers::VectorXDecisionVariable > &x, const Eigen::Ref< const solvers::VectorXDecisionVariable > &t) const |
| Let S be this convex set. More...
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std::pair< std::unique_ptr< Shape >, math::RigidTransformd > | ToShapeWithPose () const |
| Constructs a Shape and a pose of the set in the world frame for use in the SceneGraph geometry ecosystem. More...
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double | CalcVolume () const |
| Computes the exact volume for the convex set. More...
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SampledVolume | CalcVolumeViaSampling (RandomGenerator *generator, const double desired_rel_accuracy=1e-2, const int max_num_samples=1e4) const |
| Calculates an estimate of the volume of the convex set using sampling and performing Monte Carlo integration. More...
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std::optional< std::pair< std::vector< double >, Eigen::MatrixXd > > | Projection (const Eigen::Ref< const Eigen::MatrixXd > &points) const |
| Computes in the L₂ norm the distance and the nearest point in this convex set to every column of points . More...
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bool | has_exact_volume () const |
| Returns true if the exact volume can be computed for this convex set instance. More...
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