sci-libs/eigen

A C++ template library for linear algebra (vectors, matrices, and related algorithms).

Versions

Slot Version Repository Platforms
3 3.4.1 scientific ~amd64 arm? armv7? ~armv8 ~x86

Metadata

Homepage (
    https://gitlab.com/libeigen/eigen
    https://libeigen.gitlab.io/
)
Summary A C++ template library for linear algebra (vectors, matrices, and related algorithms)
Description Eigen is a C++ template library for linear algebra (vectors, matrices, and related algorithms). It is: * Versatile. Eigen handles both fixed-size and dynamic-size matrices and vectors, without code duplication, and in a completely integrated way. It aims to provide not only vectors and matrices but also many algorithms. * Fast. Expression templates remove temporaries and enable lazy evaluation. Explicit vectorization is performed for the SSE (2 and later) and AltiVec instruction sets, with graceful fallback to non-vectorized code. With fixed-size objects, dynamic memory allocation is avoided, and the loops are unrolled when that makes sense. For large matrices, special attention is paid to cache-friendliness. * Good API. Expression templates allow for a very clean and expressive API. Implementing an algorithm on top of Eigen feels like just copying pseudocode.
Dependencies (
    (
        build:
        sys-devel/cmake[>=3.24.0]
    )
    (
        build:
        sparse? (
            sci-libs/SuiteSparse
        )
        test:
        sci-libs/fftw
    )
)
Downloads https://gitlab.com/libeigen/eigen/-/archive/3.4.1/eigen-3.4.1.tar.bz2 -> eigen-3.4.1.tar.bz2
Licences (
    LGPL-3
    || (
        GPL-2
        GPL-3
    )
)

Choices

OPTIONS

sparse Use SuiteSparse (Cholmod, UMFPACK) for sparse computations