Enhancing Rate of Convergence in GMRES Using Incomplete LU Factorizations
In many fields of science, solving large sparse systems of linear equations is a critical task. Direct solvers often fall out favour due to their high computational costs and memory requirements. Iterative solvers alleviate this issue but run the risk of converging slower than satisfactory when the associated matrix is ill-conditioned and has poorly distributed eigenvalues. This work will focus on
