\ Backslash or left division.
A\B is the matrix division of A into B, which is roughly the
same as INV (A)*B , except it is computed in a different way.
If A is an N-by-N matrix and B is a column vector with N
components, or a matrix with several such columns, then
X = A\B is the solution to the equation A*X = B computed by
Gaussian elimination. A warning message is printed if A is
badly scaled or nearly singular. A\EYE(SIZE (A)) produces the
inverse of A.
If A is an M-by-N matrix with M < or > N and B is a column
vector with M components, or a matrix with several such columns,
then X = A\B is the solution in the least squares sense to the
under- or overdetermined system of equations A*X = B. The
effective rank, K, of A is determined from the QR decomposition
with pivoting. A solution X is computed which has at most K
nonzero components per column. If K < N this will usually not
be the same solution as PINV (A)*B. A\EYE(SIZE (A)) produces a
generalized inverse of A.
/ Slash or right division.
B/A is the matrix division of A into B, which is roughly the
same as B*INVMRZUU2(A) , except it is computed in a different way.
More precisely, B/A = (A'\B')'. See \.
./ Array division.
B./A denotes element-by-element division. A and B
must have the same dimensions unless one is a scalar.
A scalar can be divided with anything.