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Only include the indexed view methods when the compiler supports the code. This makes it possible to use Eigen again in complex code bases such as TensorFlow and older compilers such as gcc 4.8 |
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bench | ||
blas | ||
cmake | ||
debug | ||
demos | ||
doc | ||
Eigen | ||
failtest | ||
lapack | ||
scripts | ||
test | ||
unsupported | ||
.hgeol | ||
.hgignore | ||
CMakeLists.txt | ||
COPYING.BSD | ||
COPYING.GPL | ||
COPYING.LGPL | ||
COPYING.MINPACK | ||
COPYING.MPL2 | ||
COPYING.README | ||
CTestConfig.cmake | ||
CTestCustom.cmake.in | ||
eigen3.pc.in | ||
INSTALL | ||
README.md | ||
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/.