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Bug 1018 - blueNorm handles complex infinities wrong on some systems
blueNorm handles complex infinities wrong on some systems
 Status: CONFIRMED None Eigen Unclassified Core - general (show other bugs) 3.3 (current stable) All All Normal Wrong Result Nobody 1019 Show dependency tree / graph

 Reported: 2015-05-20 12:53 UTC by Christoph Hertzberg 2019-12-04 14:39 UTC (History) 3 users (show) chtz gael.guennebaud jacob.benoit.1

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 Christoph Hertzberg 2015-05-20 12:53:53 UTC ```This results in the stable_norm_5 unit test to fail on several systems (mostly clang, but I experienced it on g++4.9-cygwin, as well) The problem is that sometimes abs for complex is implemented similar to this: template inline _Tp __complex_abs(const complex<_Tp>& __z) { _Tp __x = __z.real(); _Tp __y = __z.imag(); const _Tp __s = std::max(abs(__x), abs(__y)); if (__s == _Tp()) // well ... return __s; __x /= __s; __y /= __s; return __s * sqrt(__x * __x + __y * __y); } This causes a division of Inf/Inf which results in NaN instead of Inf (which is a bug not caused by us). Nevertheless, even for working abs implementations, we could (actually for all *Norm implementations) increase stability and improve performance by computing the norm of a real-valued vector of twice the size (at least for Euclidean norm). Related to that: Some of our decompositions (e.g. eigenvalue/svd) normalize the input matrix by dividing by .cwiseAbs().maxCoeff(). IMO it would make sense here to take use the max of (real().cwiseAbs(), imag().cwiseAbs()) here as well (no, need to compute any complex abs)``` Gael Guennebaud 2015-06-05 13:03:56 UTC `Agree with both proposals.` Nobody 2019-12-04 14:39:12 UTC ```-- GitLab Migration Automatic Message -- This bug has been migrated to gitlab.com's GitLab instance and has been closed from further activity. You can subscribe and participate further through the new bug through this link to our GitLab instance: https://gitlab.com/libeigen/eigen/issues/1018.```

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