Eigen: A C++ template library for linear algebra
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Eigen: A C++ template library for linear algebra
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Re: Eigen: A C++ template library for linear algebra
#2Eigen is a great library.
A similar one to consider that can at times be slightly easier to use coming from a python background is armadillo: http://arma.sourceforge.net/
Re: Eigen: A C++ template library for linear algebra
#3The first thing I wondered was about the license. Fortunately, it mostly uses the MPL license:
https://eigen.tuxfamily.org/index.php?title=Main_Page#Licens...
> Note that currently, a few features rely on third-party code licensed under the LGPL: constrained_cg. Such features can be explicitly disabled by compiling with the EIGEN_MPL2_ONLY preprocessor symbol defined. Furthermore, Eigen provides interface classes for various third-party libraries (usually recognizable by the header name). Of course you have to mind the license of the so-included library when using them.
> Virtually any software may use Eigen. For example, closed-source software may use Eigen without having to disclose its own source code. Many proprietary and closed-source software projects are using Eigen right now, as well as many BSD-licensed projects.
Re: Eigen: A C++ template library for linear algebra
#4Eigen is a great library. A similar one to consider that can at times be slightly easier to use coming from a python background is armadillo: http://arma.sourceforge.net/
I really like armadillo's syntax, it feels like your doing R/Matlab.
Re: Eigen: A C++ template library for linear algebra
#5Eigen is a great library. A similar one to consider that can at times be slightly easier to use coming from a python background is armadillo: http://arma.sourceforge.net/
I’m using Eigen extensively in a project of mine. It’s extremely fast, versatile, easy to use and reliable. I’m a fan, one might say.
Re: Eigen: A C++ template library for linear algebra
#6This library is used heavily inside Tensorflow. It is “production ready”.
Re: Eigen: A C++ template library for linear algebra
#7I can’t stress enough how this library is a saving grace. It would be incredibly difficult to port my python prototype code with numpy to C++ production without using Eigen.
Re: Eigen: A C++ template library for linear algebra
#8Using it for years, and mostly happy with that library. The performance is awesome for very long vectors / large matrices.
It’s less than ideal for small things when the size is known at compile-time. If one knows SIMD intrinsics, in some of these cases the Eigen’s implementation can be outperformed by a large factor like 2-4. Also it’s very hard to mess with RAM layout of some things (like sparse matrices), just too many layers of abstraction and too much template metaprogramming.
But still, out of the box the usability of Eigen is awesome. And until the code is written, debugged, integrated and benchmarked, it’s generally impossible to tell whether a particular algorithm gonna be a performance bottleneck. That’s why I’m mostly happy with the library.
Re: Eigen: A C++ template library for linear algebra
#9Eigen is a great library. A similar one to consider that can at times be slightly easier to use coming from a python background is armadillo: http://arma.sourceforge.net/
Slightly tooting my own horn here; In case anyone is interested in a (trivial) comparison between them I have a tiny example project implemented both with Eigen and Arma (And Fortran and Python/numpy and Julia, FWIW): https://gitlab.com/jabl/tb
Re: Eigen: A C++ template library for linear algebra
#10BLAS vs Eigen
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