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\name{TsparseMatrix-class}
\title{Class "TsparseMatrix" of Sparse Matrices in Triplet Form}
\docType{class}
\alias{TsparseMatrix-class}
%% Methods:
\alias{coerce,TsparseMatrix,CsparseMatrix-method}
\alias{coerce,TsparseMatrix,lsparseMatrix-method}
\alias{coerce,TsparseMatrix,lMatrix-method}
\alias{coerce,TsparseMatrix,nsparseMatrix-method}
\alias{coerce,TsparseMatrix,nMatrix-method}
\alias{coerce,TsparseMatrix,matrix-method}
\alias{coerce,Matrix,TsparseMatrix-method}
\alias{coerce,matrix,TsparseMatrix-method}
\alias{coerce,numeric,TsparseMatrix-method}
% \alias{Ops,TsparseMatrix,TsparseMatrix-method}
% \alias{Ops,TsparseMatrix,CsparseMatrix-method}
% \alias{Ops,CsparseMatrix,TsparseMatrix-method}
%
% "[" are in ./Xtrct-methods.Rd
\alias{\%*\%,TsparseMatrix,ANY-method}
\alias{\%*\%,ANY,TsparseMatrix-method}
\alias{\%*\%,TsparseMatrix,Matrix-method}
\alias{\%*\%,Matrix,TsparseMatrix-method}
\alias{\%*\%,TsparseMatrix,TsparseMatrix-method}
\alias{crossprod,TsparseMatrix,ANY-method}
\alias{crossprod,ANY,TsparseMatrix-method}
\alias{crossprod,TsparseMatrix,Matrix-method}
\alias{crossprod,Matrix,TsparseMatrix-method}
\alias{crossprod,TsparseMatrix,TsparseMatrix-method}
\alias{crossprod,TsparseMatrix,missing-method}
\alias{tcrossprod,TsparseMatrix,ANY-method}
\alias{tcrossprod,ANY,TsparseMatrix-method}
\alias{tcrossprod,TsparseMatrix,Matrix-method}
\alias{tcrossprod,Matrix,TsparseMatrix-method}
\alias{tcrossprod,TsparseMatrix,TsparseMatrix-method}
\alias{tcrossprod,TsparseMatrix,missing-method}
\alias{solve,TsparseMatrix,ANY-method}
\alias{solve,TsparseMatrix,missing-method}
\alias{t,TsparseMatrix-method}
%
\description{The \code{"TsparseMatrix"} class is the virtual class of
all sparse matrices coded in triplet form. Since it is a virtual class,
no objects may be created from it. See
\code{showClass("TsparseMatrix")} for its subclasses.
}
\section{Slots}{
\describe{
\item{\code{Dim}, \code{Dimnames}:}{from the \code{"\linkS4class{Matrix}"} class,}
\item{\code{i}:}{Object of class \code{"integer"} - the row indices
of non-zero entries \emph{in 0-base}, i.e., must be in
\code{0:(nrow(.)-1)}.}
\item{\code{j}:}{Object of class \code{"integer"} - the column
indices of non-zero entries. Must be the same length as slot
\code{i} and \emph{0-based} as well, i.e., in
\code{0:(ncol(.)-1)}. For numeric Tsparse matrices, \code{(i,j)}
pairs can occur more than once, see \code{\linkS4class{dgTMatrix}}.
}
}
}
\section{Extends}{
Class \code{"sparseMatrix"}, directly.
Class \code{"Matrix"}, by class \code{"sparseMatrix"}.
}
\section{Methods}{
Extraction (\code{"["}) methods, see
\code{\link{[-methods}}.%-> ./Xtrct-methods.Rd
}
\note{
Most operations with sparse matrices are performed using the
compressed, column-oriented or \code{\linkS4class{CsparseMatrix}}
representation. The triplet representation is convenient for
creating a sparse matrix or for reading and writing such
matrices. Once it is created, however, the matrix is generally
coerced to a \code{\linkS4class{CsparseMatrix}} for further
operations.
For convenience, methods for some operations such as \code{\%*\%}
and \code{crossprod} are defined for
\code{\linkS4class{TsparseMatrix}} objects. These methods simply
coerce the \code{\linkS4class{TsparseMatrix}} object to a
\code{\linkS4class{CsparseMatrix}} object then perform the
operation.
}
% \author{Martin Maechler}
\seealso{
its superclass, \code{\linkS4class{sparseMatrix}}, and the
\code{\linkS4class{dgTMatrix}} class, for the links to other classes.
}
\examples{
showClass("TsparseMatrix")
## or just the subclasses' names
names(getClass("TsparseMatrix")@subclasses)
}
\keyword{classes}
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