The goal is to provide a seamless integration of sparse matrix on top of Eigen with both basic linear algebra features and more advanced algorithms like linear and eigen value solvers.

Mar 2, 2010 · This page explains the essentials of block operations. A block is a rectangular part of a matrix or array. Blocks expressions can be used both as rvalues and as lvalues. As usual with Eigen …

In Eigen all operations are performed in a lazy fashion except the matrix products which are always evaluated into a temporary by default. In Eigen2, lazy evaluation could be enforced by tagging a …

Eigen doesn't have any dependencies other than the C++ standard library. We use the CMake build system, but only to build the documentation and unit-tests, and to automate installation.

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. The API is extremely clean and …

Mar 2, 2010 · Because Eigen handles both fixed-size and dynamic-size expressions, some conditions cannot be clearly determined at compile time. We classify them into strict assertions and permissive …

Mar 2, 2010 · In this page, we give a quick summary of the main operations available for sparse matrices in the class SparseMatrix. First, it is recommended to read the introductory tutorial at …

The Eigen version I used is 3.3.4. Btw I realise the benchmark is a bit crude (and might better be done with something like Google Benchmark), but I'm getting very consistent results.

Mar 4, 1990 · HouseholderQR.h 1 // This file is part of Eigen, a lightweight C++ template library

We are transitioning to using Bugzilla for as many things as possible: for feature development, for tracking future Eigen versions and for TODO items. However, the mailing list remains a good …