Fedora 28 Eigen C++ Installation

Install Eigen on Fedora 28

Hi! The Tutorial shows you Step-by-Step How to Install Eigen C++ Library in Fedora 28 GNU/Linux.

And Eigen for Fedora 28 is a C++ Template Library for Linear Algebra: Matrices, Vectors, Numerical Solvers, and related Algorithms.

It provides high-performance implementations of common linear algebra operations and data structures, making it a popular choice for scientific computing, machine learning, computer graphics, and other numerical computing tasks.

Here are some key points about Eigen:

• Header-only Library: Eigen is a header-only library, meaning that you can include its headers directly in your C++ code without the need to link against separate libraries. This makes it easy to integrate Eigen into your projects.
• Performance: Eigen is designed for high performance. It leverages expression templates and other optimization techniques to generate efficient code for common linear algebra operations, such as matrix multiplication, matrix decompositions, and solving linear systems.
• Ease of Use: Eigen provides a clean and intuitive API for performing linear algebra operations. It uses operator overloading and expression templates to allow you to write code that looks like mathematical expressions, making your code more readable and maintainable.
• Supported Operations: Eigen supports a wide range of linear algebra operations, including basic operations (addition, subtraction, multiplication, division), matrix decompositions (e.g., LU, QR, Eigenvalue decomposition), solving linear systems, computing determinants and inverses, and many others.
• Expression Templates: Eigen uses expression templates to optimize the evaluation of complex expressions involving matrices and vectors. This allows it to generate efficient code without the need for temporary variables or intermediate copies of data.
• Platform Independence: Eigen is designed to be platform-independent and works on a variety of operating systems and compilers. It has been tested on Windows, macOS, Linux, and other Unix-like systems.
• Licensing: Eigen is licensed under the Mozilla Public License 2.0 (MPL2), which is a permissive open-source license that allows you to use, modify, and distribute the library freely, even in commercial projects.

Overall, Eigen is a powerful and versatile library for linear algebra in C++. Its combination of performance, ease of use, and platform independence makes it a popular choice for developers working on numerical computing tasks.

This guide make use of the Latest Eigen Source Code for a Quick & Easy Setup.

Finally, the article includes detailed Instructions on How to Getting-Started with Eigen C++ Programming.

1. 1. Launching Shell Emulator

   Open a Terminal window
   (Press “Enter” to Execute Commands)

   

2. 2. Downloading Eigen for Fedora

   Download Eigen for Fedora GNU/Linux

   Get Eigen .zip for Fedora

   Eigen for Fedora

   If possible Select directly “Open with Archive Manager”!

3. 3. Extracting Eigen Archive

   Then Extract Eigen Zip into /tmp Directory
   If it does Not Open automatically then Double-Click on File Manager:

   
   Or from Command Line:

   unzip -d /tmp ~/Downloads/Eigen*.zip

4. 4. Installing Eigen

   First, Compile Source:

   cd /tmp/eigen*

   So Make a Build Directory:

   mkdir build

   Access the Target:

   cd build

   And Build:

   cmake ..

   Now to Make the Stuff:

   make

   Finally, to Setup Eigen:

   sudo make install

5. 5. Eigen Getting-Started Guide

   Getting-Started with Eigen for Fedora GNU/Linux

   Eigen Quick Start Tutorial

   Getting-Started Eigen

So Now I’m truly Happy if My Guide could Help you to Install Eigen in Fedora 28!