vnl_algo_fwd.h
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1 //-*- c++ -*-------------------------------------------------------------------
2 #ifndef vnl_algo_fwd_h_
3 #define vnl_algo_fwd_h_
4 
5 
6 template <class T> struct vnl_matrix_inverse;
7 template <class T> class vnl_svd;
8 template <class T> class vnl_qr;
9 template <class T> class vnl_symmetric_eigensystem;
11 class vnl_cholesky;
14 class vnl_cpoly_roots;
15 class vnl_lbfgs;
17 
18 #endif // vnl_algo_fwd_h_
Find all the roots of a univariate polynomial with complex coefficients.
Decomposition of symmetric matrix.
Definition: vnl_cholesky.h:31
Computes and stores the eigensystem decomposition of a symmetric matrix.
Definition: vnl_algo_fwd.h:9
Levenberg Marquardt nonlinear least squares.
Extract the Q*R decomposition of matrix M.
Definition: vnl_algo_fwd.h:8
Calculates eigenvalues and eigenvectors of a square complex matrix.
real function minimization.
Calculates inverse of a matrix (wrapper around vnl_svd<double>).
Definition: vnl_algo_fwd.h:6
Limited memory Broyden Fletcher Goldfarb Shannon minimization.
Definition: vnl_lbfgs.h:39
Holds the singular value decomposition of a vnl_matrix.
Definition: vnl_algo_fwd.h:7