Finding suitable preconditioners to accelerate iterative solution methods, such as the
conjugate gradient method, is an active area of research. In this paper, we develop a …

Large sparse linear algebraic systems can be found in a variety of scientific and engineering
fields and many scientists strive to solve them in an efficient and robust manner. In this …

Recently, designing neural solvers for large-scale linear systems of equations has emerged
as a promising approach in scientific and engineering computing. This paper first introduce …

Computational Fluid Dynamics—CFD for short—is a comparatively recent development that
has made a significant impact in engineering sciences. The foundations of CFD were laid by …

The problem of correction of inconsistent systems of linear inequalities with a matrix block
structure is relevant in the modern theory of correction of inconsistent models, such as …