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Further LU test improvements. I'm not aware of any test failures anymore, not even with huge numbers of repetitions.
Finally the createRandomMatrixOfRank() function is renamed to createRandomPIMatrixOfRank, where PI stands for 'partial isometry', that is, a matrix whose singular values are 0 or 1.
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@@ -422,8 +422,11 @@ FullPivLU<MatrixType>& FullPivLU<MatrixType>::compute(const MatrixType& matrix)
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// when k==0, biggest_in_corner is the biggest coeff absolute value in the original matrix
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if(k == 0) cutoff = biggest_in_corner * NumTraits<Scalar>::epsilon();
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// if the pivot (hence the corner) is exactly zero, terminate to avoid generating nan/inf values
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if(ei_abs(biggest_in_corner) < cutoff)
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// if the pivot (hence the corner) is "zero", terminate to avoid generating nan/inf values.
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// Notice that using an exact comparison (biggest_in_corner==0) here, as Golub-van Loan do in
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// their pseudo-code, results in numerical instability! The cutoff here has been validated
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// by running the unit test 'lu' with many repetitions.
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if(biggest_in_corner < cutoff)
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{
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// before exiting, make sure to initialize the still uninitialized transpositions
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// in a sane state without destroying what we already have.
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