An eigenvalue algorithm for skew-symmetric matrices

A Jacobi-like algorithm is presented for the skew-symmetric eigenvalue problem. The process constructs iteratively, with elementary orthogonal transformations, a sequence of matrices which converges to the so-called Murnaghan form of the intial matrix.