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Hello all, I have implemented some convergence tricks suggested by Numerical Recipes and have attached the latest patch. This should be the last patch for a while, since I have now tested it on randomly generated 1000x1000 matrices and compared the results with octave and find perfect agreement. In terms of speed, my code runs slower than octave's eigenvalue solver (which I think is essentially the fortran code from LAPACK) but I only notice the slowdown at around N = 500 matrices. There is certainly room for improvement here but I believe the priority for now is to get an eigenvalue solver into GSL. I will continue trying to optimize the code but it will involve studying the LAPACK source for a while. I haven't gotten much feedback so far so I hope others will find this useful.. Patrick Alken
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gsl.unsymm.patch
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