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1 #ifndef MISC_LAPACKWRAPP___NCBI_LAPACK__H 2 #define MISC_LAPACKWRAPP___NCBI_LAPACK__H 97 unsigned int n,
double*
a,
unsigned intlda,
133 unsigned int r,
unsigned intc,
unsigned intnrhs,
134 double*
a,
unsigned intlda,
135 double*
b,
unsigned intldb);
182 unsigned int r,
unsigned intc,
183 double*
a,
unsigned intlda,
double* s,
184 double* u,
unsigned intldu,
185 double* vt,
unsigned intldvt,
static const int kNcbiLapackMemoryError
int NCBI_SymmetricEigens(enum EEigensWanted jobz, enum EMatrixTriangle uplo, unsigned int n, double *a, unsigned int lda, double *w)
Compute the eigenvalues, and optionally also the eigenvectors, of a symmetric matrix.
ESingularVectorDetailsWanted
int NCBI_SingularValueDecomposition(enum ESingularVectorDetailsWanted jobu, enum ESingularVectorDetailsWanted jobvt, unsigned int r, unsigned int c, double *a, unsigned int lda, double *s, double *u, unsigned int ldu, double *vt, unsigned int ldvt, double *superb)
Compute the singular value decomposition of a matrix.
int NCBI_LinearSolution(enum EMaybeTransposed trans, unsigned int r, unsigned int c, unsigned int nrhs, double *a, unsigned int lda, double *b, unsigned int ldb)
Find the least-squares solution of an overdetermined linear system, or the minimum-norm solution of a...
@ eSVD_All
Full orthogonal matrix, in a dedicated arg.
@ eSVD_Overwrite
Only the singular vectors, overwriting A.
@ eSVD_Singular
Only the singular vectors, in a dedicated arg.
double r(size_t dimension_, const Int4 *score_, const double *prob_, double theta_)
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