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Showing content from http://www.ncbi.nlm.nih.gov/IEB/ToolBox/CPP_DOC/doxyhtml/ncbi__lapack_8h_source.html below:

NCBI C++ ToolKit: include/misc/lapackwrapp/ncbi_lapack.h Source File

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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 int

lda,

133  unsigned int r

,

unsigned int

c,

unsigned int

nrhs,

134  double

*

a

,

unsigned int

lda,

135  double

*

b

,

unsigned int

ldb);

182  unsigned int r

,

unsigned int

c,

183  double

*

a

,

unsigned int

lda,

double

* s,

184  double

* u,

unsigned int

ldu,

185  double

* vt,

unsigned int

ldvt,

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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