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Bernardo Bahia Monteiro 54a0a9c9dd
Bugfix: conjugate_gradient did not compile with lazy-evaluated RealScalar
The error generated by the compiler was:

    no matching function for call to 'maxi'
    RealScalar threshold = numext::maxi(tol*tol*rhsNorm2,considerAsZero);

The important part in the following notes was:

    candidate template ignored: deduced conflicting
    types for parameter 'T'"
    ('codi::Multiply11<...>' vs. 'codi::ActiveReal<...>')
    EIGEN_ALWAYS_INLINE T maxi(const T& x, const T& y)

I am using CoDiPack to provide the RealScalar type.
This bug was introduced in bc000deaa Fix conjugate-gradient for very small rhs
2020-03-29 19:44:12 -04:00
bench Make file formatting comply with POSIX and Unix standards 2020-03-23 18:09:02 +00:00
blas STYLE: Remove CMake-language block-end command arguments 2019-10-31 11:36:27 -05:00
cmake [SYCL] Rebasing the SYCL support branch on top of the Einge upstream master branch. 2019-11-28 10:08:54 +00:00
debug MIsc. source and comment typos 2018-03-11 10:01:44 -04:00
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Eigen Bugfix: conjugate_gradient did not compile with lazy-evaluated RealScalar 2020-03-29 19:44:12 -04:00
failtest Make file formatting comply with POSIX and Unix standards 2020-03-23 18:09:02 +00:00
lapack STYLE: Convert CMake-language commands to lower case 2019-10-31 11:36:37 -05:00
scripts Replace calls to "hg" by calls to "git" 2019-12-04 11:24:06 +01:00
test Fix packetmath test build for AVX. 2020-03-27 17:05:39 +00:00
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INSTALL
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signature_of_eigen3_matrix_library

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.