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% File src/library/base/man/backsolve.Rd
% Part of the R package, https://www.R-project.org
% Copyright 1995-2014 R Core Team
% Distributed under GPL 2 or later
\name{backsolve}
\alias{backsolve}
\alias{forwardsolve}
\title{Solve an Upper or Lower Triangular System}
\description{
Solves a triangular system of linear equations.
}
\usage{
backsolve(r, x, k = ncol(r), upper.tri = TRUE,
transpose = FALSE)
forwardsolve(l, x, k = ncol(l), upper.tri = FALSE,
transpose = FALSE)
}
\arguments{
\item{r, l}{an upper (or lower) triangular matrix giving the
coefficients for the system to be solved. Values below (above)
the diagonal are ignored.}
\item{x}{a matrix whose columns give the right-hand sides for
the equations.}
\item{k}{The number of columns of \code{r} and rows of \code{x} to use.}
\item{upper.tri}{logical; if \code{TRUE} (default), the \emph{upper}
\emph{tri}angular part of \code{r} is used. Otherwise, the lower one.}
\item{transpose}{logical; if \code{TRUE}, solve \eqn{r' * y = x} for
\eqn{y}, i.e., \code{t(r) \%*\% y == x}.}
}
\details{
Solves a system of linear equations where the coefficient matrix is
upper (or \sQuote{right}, \sQuote{R}) or lower (\sQuote{left},
\sQuote{L}) triangular.
\code{x <- backsolve (R, b)} solves \eqn{R x = b}, and\cr
\code{x <- forwardsolve(L, b)} solves \eqn{L x = b}, respectively.
The \code{r}/\code{l} must have at least \code{k} rows and columns,
and \code{x} must have at least \code{k} rows.
This is a wrapper for the level-3 BLAS routine \code{dtrsm}.
}
\value{
The solution of the triangular system. The result will be a vector if
\code{x} is a vector and a matrix if \code{x} is a matrix.
}
\references{
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
\emph{The New S Language}.
Wadsworth & Brooks/Cole.
Dongarra, J. J., Bunch, J. R., Moler, C. B. and Stewart, G. W. (1978)
\emph{LINPACK Users Guide}. Philadelphia: SIAM Publications.
}
\seealso{
\code{\link{chol}},
\code{\link{qr}},
\code{\link{solve}}.
}
\examples{
## upper triangular matrix 'r':
r <- rbind(c(1,2,3),
c(0,1,1),
c(0,0,2))
( y <- backsolve(r, x <- c(8,4,2)) ) # -1 3 1
r \%*\% y # == x = (8,4,2)
backsolve(r, x, transpose = TRUE) # 8 -12 -5
}
\keyword{algebra}
\keyword{array}