The LA software offers a C vector and matrix class as a library. This enables users to work with vectors and matrices without the need to implement custom code.
One notable aspect of LA is its use of templates, which make it highly adaptable for a variety of applications. Simple template metaprogramming is used to ensure generic applicability of the algorithms, which can be easily customized to suit specific needs.
One of the most interesting features of LA is its set of iterative methods, which are perfectly suited for use with sparse matrices. Even if your custom matrix class doesn't have explicit storage of matrix elements, you can still implement matrix times vector operation and take advantage of the benefits offered by these methods.
With LA, developers can be confident that they have access to the very best tools for linear algebra applications. Whether you're working with dense or sparse matrices, this library will help you to optimize your operations and achieve faster, more efficient results.
Version 0.4: N/A