Eigen is a program for Windows that offers a template library focused on support for both dense and sparse linear algebra. This includes numerical solvers, matrices, and various related algorithms. The only requirement for usage is the C++ standard library.

Versatile tool

According to the developer, the template boasts a range of standout features, with its versatility being one of the most prominent. Basically, the library provides extensive support and compatibility with all standard numeric types, matrices, and associated operations.

In addition, the software undergoes rigorous and frequent testing through a dedicated suite consisting of five hundred executables. This ensures its reliability in various scenarios. Detailed test results are readily accessible on the official website.

Compiler support

Please be aware that this utility adhered to the standard C++98, making it compatible with the majority of compilers. The developers assert that they routinely conduct tests using a wide array of such solutions, including the latest ones.

The program is crafted with C++ in mind. This means if you are familiar with this language, you can easily integrate the template library into your workflow. Implementing an algorithm feels akin to pseudocoding. To convert Java code to C++, you may try a tool called Java Language Conversion Assistant.

Features

free to download and use;
compatible with modern Windows versions;
gives you the means to implement algebraic algorithms;
you can integrate the program with different code compilers;
it is possible to access test results on the official website.