A robust and efficient ILU that incorporates the growth of the inverse triangular factors

In this paper we present a new ILU decomposition which is based on an existing sparse direct solver. In contrast to many incomplete LU decompositions this ILU incorporates information about the inverse factors L-1 and U-1 which have direct influence on the dropping strategy. We demonstrate in several large scale examples that this implementation constructs a robust preconditioner.