Get this book -> Problems on Array: For Interviews and Competitive Programming
Reading time: 10 minutes
Eigen is an efficient open-source C++ library for linear algebra, matrix and vector operations, geometrical transformations, numerical solvers and related algorithms. It has been developed by two great developers namely Benoit Jacob and Gael Guennebaud and is used within TensorFlow.
In this guide, we will walk you through the process of building and installing Eigen from source.
It licensed under MPL2 starting from version 3.1.1. Earlier versions were licensed under LGPL3+
Build/ Install Eigen
Step 1: Clone the Eigen source code
git clone https://github.com/eigenteam/eigen-git-mirror.git cd eigen-git-mirror
Step 2: Build Eigen
cd build_dir cmake source_dir make install
You can adjust the installation destination (the "prefix") by passing the -DCMAKE_INSTALL_PREFIX=myprefix option to cmake.
Optional: Use header file directly
You can skip Step 2 and use the header files of Eigen directly.
All header files are within the Eigen directory.
You can browse through the header files here