C++11: Eigen Library vs Armadillo

What are the main differences between the Eigen library and Armadillo in C++11?

Eigen is a header-only library focused on performance and ease of use, while Armadillo is designed for linear algebra and has a more MATLAB-like syntax.

Which library is better for large matrix operations?

For large matrix operations, Armadillo often performs better due to its optimized backend, but Eigen can also be very efficient depending on the use case.

Can you give an example of how to use both libraries for matrix multiplication?

Sure! In Eigen, you would use Eigen::MatrixXd for matrix creation and * for multiplication. In Armadillo, you would use arma::mat and also * for multiplication.

Are there any specific use cases where one library outperforms the other?

Yes, Eigen is often preferred for real-time applications due to its lightweight nature, while Armadillo is favored in research settings for its ease of use and extensive functionality.