If A is a square matrix and B is a matrix, then mldivide(A,B) computes X, where X is the solution to the matrix equation A * X=B.

If A is a non-square matrix and B is a matrix, then mldivide(A,B) computes X, where X is a solution to the linear system A * X=B, in the least squares sense.

Maple normally treats arrays and vectors as distinct from matrices, in some cases not permitting a matrix operation when the given argument is not specifically declared as a matrix.  This function implicitly extends arrays and vectors to 2 dimensions.  Notably, n-element column vectors are treated as n x 1 matrices.  Also, n-element row vectors and 1-D arrays are treated as 1 x n matrices.

If A is a scalar, then mldivide(A,B) computes ldivide(A,B).

If B is a scalar, then mldivide(A,B)  is computed as if B is a 1 x 1 matrix.