template<typename _FunctorType>
class Eigen::LevenbergMarquardt< _FunctorType >
Performs non linear optimization over a non-linear function, using a variant of the Levenberg Marquardt algorithm.
Check wikipedia for more information. http://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm
Inherits no_assignment_operator.
template<typename _FunctorType >
- Returns
- a reference to the diagonal of the jacobian
template<typename _FunctorType >
- Returns
- the error precision
template<typename _FunctorType >
template<typename _FunctorType >
- Returns
- the norm of current vector function
template<typename _FunctorType >
template<typename _FunctorType >
- Returns
- a reference to the current vector function
template<typename _FunctorType >
- Returns
- the norm of the gradient of the error
template<typename _FunctorType >
template<typename _FunctorType >
Reports whether the minimization was successful.
- Returns
Success
if the minimization was succesful, NumericalIssue
if a numerical problem arises during the minimization process, for exemple during the QR factorization NoConvergence
if the minimization did not converge after the maximum number of function evaluation allowed InvalidInput
if the input matrix is invalid
template<typename _FunctorType >
- Returns
- the number of iterations performed
template<typename _FunctorType >
- Returns
- a reference to the matrix where the current Jacobian matrix is stored
template<typename _FunctorType >
template<typename _FunctorType >
- Returns
- a reference to the triangular matrix R from the QR of the jacobian matrix.
- See also
- jacobian()
template<typename _FunctorType >
template<typename _FunctorType >
- Returns
- the number of functions evaluation
template<typename _FunctorType >
- Returns
- the number of jacobian evaluation
template<typename _FunctorType >
the permutation used in the QR factorization
template<typename _FunctorType >
Sets the default parameters
template<typename _FunctorType >
template<typename _FunctorType >
Use an external Scaling. If set to true, pass a nonzero diagonal to diag()
template<typename _FunctorType >
template<typename _FunctorType >
template<typename _FunctorType >
template<typename _FunctorType >
template<typename _FunctorType >
template<typename _FunctorType >
The documentation for this class was generated from the following files: