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 …

Mar 2, 2010 · For a much more complete table comparing all decompositions supported by Eigen (notice that Eigen supports many other decompositions), see our special page on this topic.

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 · Detailed Description template<typename MatrixType, unsigned int UpLo> class Eigen::SelfAdjointView< MatrixType, UpLo > Expression of a selfadjoint matrix from a triangular part …

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.

Mar 4, 1990 · This Householder QR decomposition is faster, but less numerically stable and less feature-full than FullPivHouseholderQR or ColPivHouseholderQR. This class supports the inplace …

Eigen offers a comma initializer syntax which allows the user to easily set all the coefficients of a matrix, vector or array. Simply list the coefficients, starting at the top-left corner and moving from left to right …

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

Mar 2, 2010 · operator* AffineTransformType operator* ( const EigenBase< OtherDerived > & linear, const Translation< _Scalar, _Dim > & t ) ... Returns the concatenation of a linear transformation l with …

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.