f77lapack.H File Reference

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Typedefs
typedef long int	f77_integer
Functions
void	dpotrf_ (char *UPLO, f77_integer *n, double *a, f77_integer *lda, f77_integer *info)
	double-precision Computes the Cholesky factorization of a symmetric
void	dgetrf_ (f77_integer *m, f77_integer *n, double *a, f77_integer *lda, f77_integer *ipiv, f77_integer *info)
	computes an LU factorization of a general M-by-N matrix A using partial pivoting with row interchanges.
BLAS level 2 functions (matrix-vector operations)
void	dgemv_ (char *trans, f77_integer *M, f77_integer *N, double *alpha, const double *A, f77_integer *lda, const double *dx, f77_integer *incx, double *beta, double *dy, f77_integer *incy)
	Double-precision GEneral Matrix Vector multiply (DGEMV).
void	sgemv_ (char *trans, f77_integer *M, f77_integer *N, float *alpha, const float *A, f77_integer *lda, const float *dx, f77_integer *incx, float *beta, float *dy, f77_integer *incy)
	Single-precision GEneral Matrix Vector multiply (SGEMV).
BLAS level 3 functions (matrix-matrix operations)
void	dgemm_ (char *transa, char *transb, f77_integer *m, f77_integer *n, f77_integer *k, double *alpha, const double *a, f77_integer *lda, const double *b, f77_integer *ldb, double *beta, double *c, f77_integer *ldc)
	Double-precision GEneral Matrix Matrix multiply (DGEMM).
void	sgemm_ (char *transa, char *transb, f77_integer *m, f77_integer *n, f77_integer *k, float *alpha, const float *a, f77_integer *lda, const float *b, f77_integer *ldb, float *beta, float *c, f77_integer *ldc)
	Single-precision GEneral Matrix Matrix multiply (SGEMM).
LAPACK functions (linear algebra operations)
void	dgesdd_ (char *jobz, f77_integer *m, f77_integer *n, double *a, f77_integer *lda, double *s, double *u, f77_integer *ldu, double *vt, f77_integer *ldvt, double *work, f77_integer *lwork, f77_integer *iwork, f77_integer *info)
	Double-precision GEneral matrix Singular value Decomposition using Divide-and-conquer (DGESDD).
void	sgesdd_ (char *jobz, f77_integer *m, f77_integer *n, float *a, f77_integer *lda, float *s, float *u, f77_integer *ldu, float *vt, f77_integer *ldvt, float *work, f77_integer *lwork, f77_integer *iwork, f77_integer *info)
	Single-precision GEneral matrix Singular value Decomposition using Divide-and-conquer (SGESDD).

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Detailed Description

forward declarations of fortran-77 functions from lapack

Definition in file f77lapack.H.

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Function Documentation

void dgemm_	(	char *	transa,
		char *	transb,
		f77_integer *	m,
		f77_integer *	n,
		f77_integer *	k,
		double *	alpha,
		const double *	a,
		f77_integer *	lda,
		const double *	b,
		f77_integer *	ldb,
		double *	beta,
		double *	c,
		f77_integer *	ldc
	)

Double-precision GEneral Matrix Matrix multiply (DGEMM).

See http://www.netlib.org/blas/dgemm.f

void dgemv_	(	char *	trans,
		f77_integer *	M,
		f77_integer *	N,
		double *	alpha,
		const double *	A,
		f77_integer *	lda,
		const double *	dx,
		f77_integer *	incx,
		double *	beta,
		double *	dy,
		f77_integer *	incy
	)

Double-precision GEneral Matrix Vector multiply (DGEMV).

See http://www.netlib.org/blas/dgemv.f

void dgesdd_	(	char *	jobz,
		f77_integer *	m,
		f77_integer *	n,
		double *	a,
		f77_integer *	lda,
		double *	s,
		double *	u,
		f77_integer *	ldu,
		double *	vt,
		f77_integer *	ldvt,
		double *	work,
		f77_integer *	lwork,
		f77_integer *	iwork,
		f77_integer *	info
	)

Double-precision GEneral matrix Singular value Decomposition using Divide-and-conquer (DGESDD).

See http://www.netlib.org/lapack/double/dgesdd.f

Note that this algorithm, based on divide-and-conquer, is expected to be substantially faster than the older DGESVD, which is based on QR-decomposition (see http://www.cs.berkeley.edu/~demmel/DOE2000/Report0100.html).

void dgetrf_	(	f77_integer *	m,
		f77_integer *	n,
		double *	a,
		f77_integer *	lda,
		f77_integer *	ipiv,
		f77_integer *	info
	)

computes an LU factorization of a general M-by-N matrix A using partial pivoting with row interchanges.

See http://www.netlib.org/lapack/double/dgetrf.f

void dpotrf_	(	char *	UPLO,
		f77_integer *	n,
		double *	a,
		f77_integer *	lda,
		f77_integer *	info
	)

double-precision Computes the Cholesky factorization of a symmetric

See http://www.netlib.org/lapack/double/sgesdd.f

void sgemm_	(	char *	transa,
		char *	transb,
		f77_integer *	m,
		f77_integer *	n,
		f77_integer *	k,
		float *	alpha,
		const float *	a,
		f77_integer *	lda,
		const float *	b,
		f77_integer *	ldb,
		float *	beta,
		float *	c,
		f77_integer *	ldc
	)

Single-precision GEneral Matrix Matrix multiply (SGEMM).

See http://www.netlib.org/blas/sgemm.f

void sgemv_	(	char *	trans,
		f77_integer *	M,
		f77_integer *	N,
		float *	alpha,
		const float *	A,
		f77_integer *	lda,
		const float *	dx,
		f77_integer *	incx,
		float *	beta,
		float *	dy,
		f77_integer *	incy
	)

Single-precision GEneral Matrix Vector multiply (SGEMV).

See http://www.netlib.org/blas/sgemv.f

void sgesdd_	(	char *	jobz,
		f77_integer *	m,
		f77_integer *	n,
		float *	a,
		f77_integer *	lda,
		float *	s,
		float *	u,
		f77_integer *	ldu,
		float *	vt,
		f77_integer *	ldvt,
		float *	work,
		f77_integer *	lwork,
		f77_integer *	iwork,
		f77_integer *	info
	)

Single-precision GEneral matrix Singular value Decomposition using Divide-and-conquer (SGESDD).

See http://www.netlib.org/lapack/double/sgesdd.f