Eigen is thoroughly tested through its own test suite (over 500 executables), the standard BLAS test suite, and parts of the LAPACK test suite. Eigen is elegant.

Eigen is thoroughly tested through its own test suite (over 500 executables), the standard BLAS test suite, and parts of the LAPACK test suite. Eigen is elegant.

Mar 4, 1990 · This is the API documentation for Eigen3. You can download it as a tgz archive for offline reading. For a first contact with Eigen, the best place is to have a look at the getting …

Getting started This is a very short guide on how to get started with Eigen. It has a dual purpose. It serves as a minimal introduction to the Eigen library for people who want to start coding as …

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 …

Eigen provides two implementations. The recommended one is the BDCSVD class, which scales well for large problems and automatically falls back to the JacobiSVD class for smaller …

Eigen provides several reduction methods such as: minCoeff () , maxCoeff () , sum () , prod () , trace () *, norm () *, squaredNorm () *, all () , and any () . All reduction operations can be done …

Eigen offers matrix/vector arithmetic operations either through overloads of common C++ arithmetic operators such as +, -, *, or through special methods such as dot (), cross (), etc.

Mar 2, 2010 · The main documentation is organized into chapters covering different domains of features. They are themselves composed of user manual pages describing the different …

In Eigen, all matrices and vectors are objects of the Matrix template class. Vectors are just a special case of matrices, with either 1 row or 1 column. The first three template parameters of …