The ATLAS experiment at the LHC (Large Hadron Collider) at CERN is using Eigen, as reported in this article, noting "Eigen was chosen since it offered the largest performance improvements …

Eigen has its own vectorization system, it does not at all rely on the compiler to automatically vectorize. However it still needs some support from the compiler, in the form of intrinsic …

Writing one's own expression classes; inheriting from Matrix and other Eigen classes. The overall design and class hierarchy, the role of MatrixBase and other base classes, the standard …

Eigen now uses the c++11 alignas keyword for static alignment. Users targeting C++17 only and recent compilers (e.g., GCC>=7, clang>=5, MSVC>=19.12) will thus be able to completely …

It serves as a minimal introduction to the Eigen library for people who want to start coding as soon as possible. You can also read this page as the first part of the Tutorial, which explains the …

Mar 2, 2010 · For a first contact with Eigen, the best place is to have a look at the getting started page that show you how to write and compile your first program with Eigen.

The Eigen library is divided in a Core module and several additional modules. Each module has a corresponding header file which has to be included in order to use the module.

IMPORTANT NOTE: The current developement version of Eigen (post-3.2) supports Tensors. This support is experimental and a moving target. For a TODO list / discussion on further …

The Eigen library is divided in a Core module and several additional modules. Each module has a corresponding header file which has to be included in order to use the module.

Expression templates refers to a c++ coding technique that was discovered in the 90's, which can greatly improve the performance and the API cleanness and expressiveness of certain kinds …