sherman.morrison {fastmatrix} | R Documentation |
Sherman-Morrison formula
Description
The Sherman-Morrison formula gives a convenient expression for the inverse of the
rank 1 update (\bold{A} + \bold{bd}^T)
where \bold{A}
is a n\times n
matrix and \bold{b}
, \bold{d}
are n
-dimensional vectors. Thus
(\bold{A} + \bold{bd}^T)^{-1} = \bold{A}^{-1} - \frac{\bold{A}^{-1}\bold{bd}^T
\bold{A}^{-1}}{1 + \bold{d}^T\bold{A}^{-1}\bold{b}}.
Usage
sherman.morrison(a, b, d = b, inverted = FALSE)
Arguments
a |
a numeric matrix. |
b |
a numeric vector. |
d |
a numeric vector. |
inverted |
logical. If |
Details
Method of sherman.morrison
calls BLAS level 2 subroutines DGEMV
and
DGER
for computational efficiency.
Value
a square matrix of the same order as a
.
Examples
n <- 10
ones <- rep(1, n)
a <- 0.5 * diag(n)
z <- sherman.morrison(a, ones, 0.5 * ones)
z
[Package fastmatrix version 0.5-772 Index]