Multilevel Inverse-Based Factorization Preconditioner for Solving Sparse Linear Systems in Electromagnetics

We introduce an algebraic recursive multilevel approximate inverse-based preconditioner, based on a distributed Schur complement formulation. The proposed preconditioner combines recursive combinatorial algorithms and multilevel mechanisms to maximize sparsity during the factorization.