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| RangeFactor () |
| | default constructor
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| RangeFactor (Key key1, Key key2, T measured, const SharedNoiseModel &model) |
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| virtual gtsam::NonlinearFactor::shared_ptr | clone () const |
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virtual Expression< T > | expression (Key key1, Key key2) const |
| | Recreate expression from given keys_ and measured_, used in load Needed to deserialize a derived factor.
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void | print (const std::string &s="", const KeyFormatter &kf=DefaultKeyFormatter) const |
| | print
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virtual | ~ExpressionFactor2 () |
| | Destructor.
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Vector | evaluateError (const A1 &a1, const A2 &a2, boost::optional< Matrix & > H1=boost::none, boost::optional< Matrix & > H2=boost::none) const |
| | Backwards compatible evaluateError, to make existing tests compile.
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| | ExpressionFactor (const SharedNoiseModel &noiseModel, const T &measurement, const Expression< T > &expression) |
| | Constructor: creates a factor from a measurement and measurement function. More...
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virtual | ~ExpressionFactor () |
| | Destructor.
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const T & | measured () const |
| | return the measurement
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bool | equals (const NonlinearFactor &f, double tol) const |
| | equals relies on Testable traits being defined for T
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| virtual Vector | unwhitenedError (const Values &x, boost::optional< std::vector< Matrix > & > H=boost::none) const |
| | Error function without the NoiseModel, \( z-h(x) -> Local(h(x),z) \). More...
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virtual boost::shared_ptr< GaussianFactor > | linearize (const Values &x) const |
| | linearize to a GaussianFactor
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class | boost::serialization::access |
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◆ clone()
template<typename A1 , typename A2 = A1, typename T = double>
| virtual gtsam::NonlinearFactor::shared_ptr gtsam::RangeFactor< A1, A2, T >::clone |
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The documentation for this class was generated from the following files: