Parallel Algorithms for Quasi-Variational Inequality Arising in Type-II Superconductivity Model

Abstract

We study parallel algorithms for certain classes of parabolic quasi-variational inequalities proposed by Lions in 1999, and examine the possibility of applying such algorithms to quasi-variational inequalities that model type-II superconductors with critical current density depending on magnetic field in different situations.