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Robotran C Documentation
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29 int mbs_eig_0(
double **A,
int n,
double *eval_a,
double *eval_b,
double **evec_a,
double **evec_b);
46 int mbs_schur_0(
double **A,
int n,
double **T,
double **Z,
double *WR,
double *WI,
114 int mbs_svdDcmp_0(
double **A,
int x,
int y,
double **U,
double **S,
double **VT);
int mbs_cholsl_0(double **A, int n, double **B, int nb)
Solves a symmetric positive definite system of linear equations AX=B (B being the right hand side wit...
Definition: cholesky.c:35
int mbs_invLU_0(double **A, double **Am1, int n)
Inverse the square matrix A using a LU decomposition.
Definition: inverse_lapack.c:15
int mbs_svdDcmp_0(double **A, int x, int y, double **U, double **S, double **VT)
Realize the singular value decomposition.
Definition: svdcmp_lapack.c:80
int mbs_eig_0(double **A, int n, double *eval_a, double *eval_b, double **evec_a, double **evec_b)
Compute the eigen values and vector of a matrix with index starting a 0.
Definition: eig_lapack.c:22
int mbs_choldc_0(double **A, int n)
Compute the Cholesky decomposition of A, i.e.
Definition: cholesky.c:18
int mbs_over_under_determined(double **A, double *b, int x, int y)
Solve a linear system of equations, A*x=b, using dgelss lapack function.
Definition: svdcmp_lapack.c:14
int mbs_schur_0(double **A, int n, double **T, double **Z, double *WR, double *WI, int reorder)
Compute the Schur decomposition.
Definition: schur_lapack.c:34
int mbs_rank_0(double **A, int m, int n)
Compute the rank of a matrix.
Definition: rank_lapack.c:21