matmult.h File Reference

#include <Rinternals.h>

Go to the source code of this file.

Functions
SEXP	R_dense_matmult (SEXP, SEXP, SEXP, SEXP)
SEXP	R_sparse_matmult (SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)
SEXP	R_diagonal_matmult (SEXP, SEXP, SEXP, SEXP, SEXP)

Function Documentation

R_dense_matmult()

SEXP R_dense_matmult	(	SEXP	x,
		SEXP	y,
		SEXP	xtrans,
		SEXP	ytrans
	)

Definition at line 634 of file matmult.c.

References dense_as_general(), dense_as_kind(), dgeMatrix_matmult(), dspMatrix_matmult(), dsyMatrix_matmult(), dtpMatrix_matmult(), dtrMatrix_matmult(), ERROR_INVALID_CLASS, GET_SLOT, matmultDim(), matrix_as_dense(), Matrix_diagSym, Matrix_DimNamesSym, Matrix_uploSym, valid, and VALID_DENSE.

R_diagonal_matmult()

SEXP R_diagonal_matmult	(	SEXP	x,
		SEXP	y,
		SEXP	xtrans,
		SEXP	ytrans,
		SEXP	boolean
	)

Definition at line 1285 of file matmult.c.

References _, Csparse_colscale(), Csparse_rowscale(), dense_as_general(), dense_as_kind(), dense_colscale(), dense_rowscale(), dense_transpose(), diagonal_as_kind(), ERROR_INVALID_CLASS, GET_SLOT, matmultDim(), matmultDN(), matrix_as_dense(), Matrix_diagSym, Matrix_DimNamesSym, Matrix_DimSym, Matrix_iSym, Matrix_jSym, Matrix_memcpy(), Matrix_pSym, Matrix_uploSym, Matrix_xSym, newObject(), SET_SLOT, sparse_as_general(), sparse_as_kind(), sparse_diag_U2N(), sparse_drop0(), sparse_transpose(), Tsparse_rowscale(), valid, VALID_CSPARSE, VALID_DENSE, VALID_DIAGONAL, VALID_RSPARSE, and VALID_TSPARSE.

R_sparse_matmult()

SEXP R_sparse_matmult	(	SEXP	x,
		SEXP	y,
		SEXP	xtrans,
		SEXP	ytrans,
		SEXP	ztrans,
		SEXP	boolean
	)

Definition at line 935 of file matmult.c.

References _, dense_as_general(), dense_as_kind(), dense_as_sparse(), dgCMatrix_dgCMatrix_matmult(), dgCMatrix_dgeMatrix_matmult(), ERROR_INVALID_CLASS, GET_SLOT, matmultDim(), matrix_as_dense(), matrix_as_sparse(), Matrix_diagSym, Matrix_DimNamesSym, Matrix_uploSym, sparse_as_Csparse(), sparse_as_general(), sparse_as_kind(), sparse_diag_U2N(), sparse_drop0(), sparse_transpose(), valid, VALID_CSPARSE, VALID_DENSE, VALID_RSPARSE, and VALID_TSPARSE.