Abstract: Linear relaxation is a common method for solving linear problems as they occur in science and engineering. In contrast to direct methods such as Gauss-elimination or QR-factorization, linear ...

Computations that involve matrix algorithms are happening everywhere in the world at every moment in time, whether these be embedded in the training of neural networks in data science, in computer ...

Abstract: Solving sparse linear systems lies at the core of numerous computational applications. Consequently, understanding the numerical performance of recently proposed alternatives to the ...