Treatment of Singular Matrices in the Hybrid Total FETI Method

The goal is to show how to treat singular matrices via kernel detection so that any robust direct sparse solver for non-singular matrices may be used. This technique applied in the Hybrid total FETI method enables us to process large coarse problems, for which the classical FETI method fails. Efficiency of the algorithms is illustrated in our ESPRESO library for problems with billions of unknowns.