This function solves the equation a %*% x = b or
t(a) %*% x = b for x, where b can be either a
vector or a matrix.
Usage
## S3 method for class 'Matrix':
solve(a, b, tol = 0, transpose = FALSE, \dots)
Arguments
a
a numeric matrix containing the coefficients of the linear
system.
b
a numeric vector or matrix giving the right-hand side(s) of
the linear system. If omitted, b is taken to be an identity
matrix and solve will return the inverse of a.
tol
the tolerance for the reciprocal condition estimate. If
tol is negative, no condition estimation is done.
Otherwise the reciprocal one norm condition estimate is computed
and the solution is attempted only when it is great
transpose
a logical value. If TRUE, the system to be
solved is defined by the transpose of a. The default is
FALSE, for which the system to be solved is defined by
a.
...
further arguments passed to or from other methods.
h8 <- hilbert(8); round(h8, 4)
solve(h8)
solve(h8, diag(8)) # similar result but not necessarily HermitianHermitian.test(solve(h8))
Hermitian.test(solve(h8, diag(8)))