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 \   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*INV(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.

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