![]() The breadth of Eigen functionality that can be substituted is listed in the table below. Operations on other scalar types or mixing reals and complexes will continue to use the built-in algorithms. These substitutions apply only for Dynamic or large enough objects with one of the following four standard scalar types: float, double, complex, and complex. When the Intel MKL is not available, the direct solver will switch from Intel MKL Pardiso to SuperLU. When doing so, a number of Eigen's algorithms are silently substituted with calls to BLAS or LAPACK routines. libblas.so) All platforms will search for the Intel MKL by trying several version numbers. Recent versions of MKL do not separate BLAS, LAPACK, etc., routines into distinct libraries. See the doc/ and tutorials/ directories for documentation and tutorials. They function as small public libraries installed in buses and with collections destined for all ages. See LICENSE.txt and CREDITS.txt for more information. Bibliobuses are mobile lending libraries. This currently concerns only JacobiSVD which otherwise would be replaced by gesvd that is less robust than Jacobi rotations. There is no such library ( libmkllapack.a or libmkllapack.so) included in the current version of MKL, nor is such a library needed. Remacle, and is distributed under the terms of the GNU General Public License, Version 2 or later, with an exception to allow for easier linking with external libraries. Here you will find the Python API you're looking for. If you still prefer to use conda, you can download the python-gmsh package from the conda-forge channel using conda install -c conda-forge gmsh python-gmsh. Please install gmsh using pip install gmsh. Same as EIGEN_USE_LAPACKE but algorithms of lower numerical robustness are disabled. The gmsh package in conda-forge don't provide the Python API. Sudo port install lapack and then use the following link flags: -framework Accelerate /opt/local/lib/lapack/liblapacke.dylib EIGEN_USE_BLASĮnables the use of external BLAS level 2 and 3 routines (compatible with any F77 BLAS interface)Įnables the use of external Lapack routines via the Lapacke C interface to Lapack (compatible with any F77 LAPACK interface)
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