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Since the S statistics introduced here simply measure what proportion of variation exists in a given sample along the axis of variation defined by the eigenvectors in the compared sample, they are similar to the RS and T% ones in that they do not compare and are not dependent on the matrices' sizes.
The MGF in (22) depends on the matrices R dd and R ee.
We present explicit formulas on the matrices that lead to computing the filter coefficients.
However, these transformations depend on the matrices in a rather complicated way and, hence, are difficult to construct directly.
The solution of the Conic Quadratic Eigenvalue Complementarity Problem (CQEiCP) is first investigated without assuming symmetry on the matrices defining the problem.
However, the effects of this treatment on the matrices mechanical and physical properties; particularly, those composed of fibers with small diameter (<20 μm); have been poorly investigated.
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A trailer for the Wachowkis' next film, Jupiter Ascending, seems to lean more towards a rather far-out take on The Matrix, but here's hoping.
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