% File src/library/base/man/backsolve.Rd % Part of the R package, http://www.R-project.org % Copyright 1995-2013 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}