Eigen
Eigen is a high-level C++ template library for linear algebra, including matrices, vectors, numerical solvers, and related algorithms. It provides an expressive API for performing operations like matrix multiplication, decomposition, and solving linear systems, with a focus on performance through compile-time optimization and support for various scalar types. It is widely used in scientific computing, computer graphics, robotics, and machine learning applications.
Developers should learn Eigen when working on projects that require efficient linear algebra computations in C++, such as 3D graphics, physics simulations, or numerical analysis. It is particularly valuable for its ease of use, speed, and compatibility with other libraries like OpenCV or TensorFlow, making it ideal for real-time applications and research where performance is critical.