ABSTRACT
Sparse linear systems are used to model many scientific and industrial problems, such as the environmental simulations or the industrial processing of the complex or nonNewtonian fluids. Moreover, the resolution of these problems often involves the solving of such linear systems that are considered the most expensive process in terms of execution time and memory space. Therefore, solving sparse linear systems must be as efficient as possible in order to deal with problems of ever increasing size.
