/*
Compute inv(op(A)) x for x, where op(A) = A, A^T, A^H for TransA =
CblasNoTrans, CblasTrans, CblasConjTrans. When Uplo is CblasUpper then
the upper triangle of A is used, and when Uplo is CblasLower then the
lower triangle of A is used. If Diag is CblasNonUnit then the diagonal
of the matrix is used, but if Diag is CblasUnit then the diagonal
elements of the matrix A are taken as unity and are not referenced.
*/
int fff_blas_dtrsv (CBLAS_UPLO_t Uplo, CBLAS_TRANSPOSE_t TransA, CBLAS_DIAG_t Diag,
const fff_matrix * A, fff_vector * x)
{
char* uplo = SWAP_UPLO(Uplo);
char* trans = SWAP_TRANS(TransA);
char* diag = DIAG(Diag);
int incx = (int) x->stride;
int n = (int) A->size1;
int lda = (int) A->tda;
return( FNAME(dtrsv)(uplo, trans, diag, &n,
A->data, &lda,
x->data, &incx) );
}
/*
Compute a rank-k update of the symmetric matrix C, C = \alpha A A^T +
\beta C when Trans is CblasNoTrans and C = \alpha A^T A + \beta C when
Trans is CblasTrans. Since the matrix C is symmetric only its upper
half or lower half need to be stored. When Uplo is CblasUpper then the
upper triangle and diagonal of C are used, and when Uplo is CblasLower
then the lower triangle and diagonal of C are used.
*/
int fff_blas_dsyrk (CBLAS_UPLO_t Uplo, CBLAS_TRANSPOSE_t Trans,
double alpha, const fff_matrix * A, double beta, fff_matrix * C)
{
char* uplo = SWAP_UPLO(Uplo);
char* trans = SWAP_TRANS(Trans);
int n = C->size1;
int k = (Trans == CblasNoTrans) ? (int)A->size1 : (int)A->size2;
int lda = (int) A->tda;
int ldc = (int) C->tda;
return( FNAME(dsyrk)(uplo, trans, &n, &k,
&alpha,
A->data, &lda,
&beta,
C->data, &ldc) );
}
/* Compute the matrix-vector product and sum y = \alpha op(A) x +
\beta y, where op(A) = A, A^T, A^H for TransA = CblasNoTrans,
CblasTrans, CblasConjTrans. */
int fff_blas_dgemv (CBLAS_TRANSPOSE_t TransA, double alpha,
const fff_matrix * A, const fff_vector * x, double beta, fff_vector * y)
{
char* trans = SWAP_TRANS(TransA);
int incx = (int) x->stride;
int incy = (int) y->stride;
int m = (int) A->size2;
int n = (int) A->size1;
int lda = (int) A->tda;
return( FNAME(dgemv)(trans, &m, &n,
&alpha,
A->data, &lda,
x->data, &incx,
&beta,
y->data, &incy) );
}
/*
Compute inv(op(A)) x for x, where op(A) = A, A^T, A^H for TransA =
CblasNoTrans, CblasTrans, CblasConjTrans. When Uplo is CblasUpper then
the upper triangle of A is used, and when Uplo is CblasLower then the
lower triangle of A is used. If Diag is CblasNonUnit then the diagonal
of the matrix is used, but if Diag is CblasUnit then the diagonal
elements of the matrix A are taken as unity and are not referenced.
*/
int fff_blas_dtrsv (CBLAS_UPLO_t Uplo, CBLAS_TRANSPOSE_t TransA, CBLAS_DIAG_t Diag,
const fff_matrix * A, fff_vector * x)
{
char* uplo = SWAP_UPLO(Uplo);
char* trans = SWAP_TRANS(TransA);
char* diag = DIAG(Diag);
int incx = (int) x->stride;
int n = (int) A->size1;
int lda = (int) A->tda;
int (*dtrsv)(char *uplo, char *trans, char *diag, int* n,
double* a, int* lda, double* x, int* incx);
dtrsv = fff_blas_func[FFF_BLAS_DTRSV];
return( (*dtrsv)(uplo, trans, diag, &n,
A->data, &lda,
x->data, &incx) );
}
/*
Compute a rank-k update of the symmetric matrix C, C = \alpha A A^T +
\beta C when Trans is CblasNoTrans and C = \alpha A^T A + \beta C when
Trans is CblasTrans. Since the matrix C is symmetric only its upper
half or lower half need to be stored. When Uplo is CblasUpper then the
upper triangle and diagonal of C are used, and when Uplo is CblasLower
then the lower triangle and diagonal of C are used.
*/
int fff_blas_dsyrk (CBLAS_UPLO_t Uplo, CBLAS_TRANSPOSE_t Trans,
double alpha, const fff_matrix * A, double beta, fff_matrix * C)
{
char* uplo = SWAP_UPLO(Uplo);
char* trans = SWAP_TRANS(Trans);
int n = C->size1;
int k = (Trans == CblasNoTrans) ? (int)A->size1 : (int)A->size2;
int lda = (int) A->tda;
int ldc = (int) C->tda;
int (*dsyrk)(char *uplo, char *trans, int* n, int* k,
double* alpha, double* a, int* lda, double* beta,
double* c__, int* ldc);
dsyrk = fff_blas_func[FFF_BLAS_DSYRK];
return( (*dsyrk)(uplo, trans, &n, &k,
&alpha,
A->data, &lda,
&beta,
C->data, &ldc) );
}
/* Compute the matrix-vector product and sum y = \alpha op(A) x +
\beta y, where op(A) = A, A^T, A^H for TransA = CblasNoTrans,
CblasTrans, CblasConjTrans. */
int fff_blas_dgemv (CBLAS_TRANSPOSE_t TransA, double alpha,
const fff_matrix * A, const fff_vector * x, double beta, fff_vector * y)
{
char* trans = SWAP_TRANS(TransA);
int incx = (int) x->stride;
int incy = (int) y->stride;
int m = (int) A->size2;
int n = (int) A->size1;
int lda = (int) A->tda;
int (*dgemv)(char *trans, int* m, int* n, double*
alpha, double* a, int* lda, double* x, int* incx,
double* beta, double* y, int* incy);
dgemv = fff_blas_func[FFF_BLAS_DGEMV];
return( (*dgemv)(trans, &m, &n,
&alpha,
A->data, &lda,
x->data, &incx,
&beta,
y->data, &incy) );
}
