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For random matrices with integer coefficients, many of the tests here lead to integer overflows. When taking the norm() of a row/column, the squaredNorm() often overflows to a negative value, leading to domain errors when taking the sqrt(). This leads to a crash on some systems. By replacing the norm() call by a squaredNorm(), the values still overflow, but at least there is no domain error. Addresses https://gitlab.com/libeigen/eigen/-/issues/1856
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
For more information go to http://eigen.tuxfamily.org/.
For pull request, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.
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