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mldivide(A, B)
mrdivide(A, B)
A
and B
must have the same
number of rows (for mldivide
) or the same number of columns
(for mrdivide
)A
is an n-by-p matrix and B
n-by-q, then the result of
mldivide(A, B)
is a p-by-q matrix (mldivide
).mldivide
performs matrix left division (and mrdivide
matrix
right division). If A
is scalar it performs element-wise division. If A
is square, mldivide
is roughly the same as
inv(A) %*% B
except it is computed in a different way ---
using QR decomposition.
If A
is not square, x <- mldivide(A, b)
returnes a
least-squares solution that minimizes the length of the vector
A %*% x - b
(which is equivalent to norm(A %*% x - b, "F")
.
# Solve a system of linear equations
A <- matrix(c(8,1,6, 3,5,7, 4,9,2), nrow = 3, ncol = 3, byrow = TRUE)
b <- c(1, 1, 1)
mldivide(A, b) # 0.06666667 0.06666667 0.06666667
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