This class implements the first constraint.
- For explicit Euler method: q_{k+1} = q_k + h*v_k
- For implicit Euler method: q_{k+1} = q_k + h*v_{k+1}
- For sympletic Euler method: q_{k+1} = q_k + h*v_{k+1}
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| PendulumFactor1 (Key k1, Key k, Key velKey, double h, double mu=1000.0) |
| Constructor. k1: q_{k+1}, k: q_k, velKey: velocity variable depending on the chosen method, h: time step.
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virtual gtsam::NonlinearFactor::shared_ptr | clone () const |
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Vector | evaluateError (const double &qk1, const double &qk, const double &v, boost::optional< Matrix & > H1=boost::none, boost::optional< Matrix & > H2=boost::none, boost::optional< Matrix & > H3=boost::none) const |
| q_k + h*v - q_k1 = 0, with optional derivatives
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| NoiseModelFactor3 () |
| Default Constructor for I/O.
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| NoiseModelFactor3 (const SharedNoiseModel &noiseModel, Key j1, Key j2, Key j3) |
| Constructor. More...
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Key | key1 () const |
| methods to retrieve keys
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Key | key2 () const |
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Key | key3 () const |
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virtual Vector | unwhitenedError (const Values &x, boost::optional< std::vector< Matrix > & > H=boost::none) const |
| Calls the 3-key specific version of evaluateError, which is pure virtual so must be implemented in the derived class. More...
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| NoiseModelFactor () |
| Default constructor for I/O only.
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virtual | ~NoiseModelFactor () |
| Destructor.
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template<typename CONTAINER > |
| NoiseModelFactor (const SharedNoiseModel &noiseModel, const CONTAINER &keys) |
| Constructor.
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virtual void | print (const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const |
| Print.
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virtual bool | equals (const NonlinearFactor &f, double tol=1e-9) const |
| Check if two factors are equal.
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virtual size_t | dim () const |
| get the dimension of the factor (number of rows on linearization)
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const SharedNoiseModel & | noiseModel () const |
| access to the noise model
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Vector | whitenedError (const Values &c) const |
| Vector of errors, whitened This is the raw error, i.e., i.e. More...
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virtual double | error (const Values &c) const |
| Calculate the error of the factor. More...
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boost::shared_ptr< GaussianFactor > | linearize (const Values &x) const |
| Linearize a non-linearFactorN to get a GaussianFactor, \( Ax-b \approx h(x+\delta x)-z = h(x) + A \delta x - z \) Hence \( b = z - h(x) = - \mathtt{error\_vector}(x) \).
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