Performing this operation on a cofactor matrix generates a classical adjoint matrix.
Performing this operation on a cofactor matrix generates a classical adjoint matrix. For an orthogonal matrix, this operation is equivalent to inversion. One method of least squares regression uses this operation twice along with inversion and multiplication. A dot product can be computed by applying this operation to one vector and then multiplying. This operation gives the additive inverse of a skew-symmetric matrix, and it has no effect on a symmetric matrix. Name this operation that reflects a square matrix across its main diagonal, represented by a superscript T.
Performing this operation on a cofactor matrix generates a classical adjoint matrix.
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