template<typename DERIVED>
class gtsam::Basis< DERIVED >::VectorDerivativeFunctor
VectorDerivativeFunctor at a given x, applied to a parameter Matrix.
This functor is used to evaluate the derivatives of a parameterized function at a given scalar value x. When given a specific M*N parameters, returns an M-vector the M corresponding function derivatives at x, possibly with Jacobians wrpt the parameters.
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| VectorDerivativeFunctor () |
| | For serialization.
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| VectorDerivativeFunctor (size_t M, size_t N, double x) |
| | Default Constructor.
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| VectorDerivativeFunctor (size_t M, size_t N, double x, double a, double b) |
| | Constructor, with optional interval [a,b].
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Vector | apply (const Matrix &P, OptionalJacobian< -1, -1 > H={}) const |
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Vector | operator() (const Matrix &P, OptionalJacobian< -1, -1 > H={}) const |
| | c++ sugar
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template<typename DERIVED>
| void gtsam::Basis< DERIVED >::VectorDerivativeFunctor::calculateJacobian |
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inlineprotected |
Calculate the M*(M*N) Jacobian of this functor with respect to the M*N parameter matrix P.
We flatten assuming column-major order, e.g., if N=3 and M=2, we have H =[ w(0) 0 w(1) 0 w(2) 0 0 w(0) 0 w(1) 0 w(2) ] i.e., the Kronecker product of weights_ with the MxM identity matrix.