\ -- Backslash or matrix left division. If A is a square matrix, A\B 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 AX = B computed by Gaussian elimination. A warning message is displayed if A is badly scaled or nearly singular. See the reference page for mldivide for more information.
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\ Backslash or left matrix divide.
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.
C = MLDIVIDE(A,B) is called for the syntax 'A \ B' when A or B is an
object.
和
/ Slash or right matrix divide.
A/B is the matrix division of B into A, which is roughly the
same as A*INV(B) , except it is computed in a different way.
More precisely, A/B = (B'\A')'. See MLDIVIDE for details.
C = MRDIVIDE(A,B) is called for the syntax 'A / B' when A or B is an
object.