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| AffineFunction (const matrixIn_t &J, const std::string name="LinearFunction") |
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| AffineFunction (const matrixIn_t &J, const vectorIn_t &b, const std::string name="LinearFunction") |
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virtual | ~DifferentiableFunction () |
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LiegroupElement | operator() (vectorIn_t argument) const |
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void | value (LiegroupElementRef result, vectorIn_t argument) const |
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void | jacobian (matrixOut_t jacobian, vectorIn_t argument) const |
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const ArrayXb & | activeParameters () const |
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const ArrayXb & | activeDerivativeParameters () const |
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size_type | inputSize () const |
| Get dimension of input vector. More...
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size_type | inputDerivativeSize () const |
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LiegroupSpacePtr_t | outputSpace () const |
| Get output space. More...
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size_type | outputSize () const |
| Get dimension of output vector. More...
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size_type | outputDerivativeSize () const |
| Get dimension of output derivative vector. More...
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const std::string & | name () const |
| Get function name. More...
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virtual std::ostream & | print (std::ostream &o) const |
| Display object in a stream. More...
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std::string | context () const |
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void | context (const std::string &c) |
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void | finiteDifferenceForward (matrixOut_t jacobian, vectorIn_t arg, DevicePtr_t robot=DevicePtr_t(), value_type eps=std::sqrt(Eigen::NumTraits< value_type >::epsilon())) const |
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void | finiteDifferenceCentral (matrixOut_t jacobian, vectorIn_t arg, DevicePtr_t robot=DevicePtr_t(), value_type eps=std::sqrt(Eigen::NumTraits< value_type >::epsilon())) const |
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Affine function \( f(q) = J * q + b \)
- Todo:
- should we handle specifically this function is the solvers ?