Learning Adaptive FETI-DP Constraints for Irregular Domain Decompositions
摘要
Adaptive, that is, problem-dependent coarse spaces provide a robust condition number estimate and thus a robust convergence behavior for FETI-DP (Finite Element Tearing and Interconnecting - Dual Primal) and BDDC (Balancing Domain Decomposition by Constraints) methods for highly heterogeneous model problems; see, e.g., [7, 10] for a condition number indicator and a related proof for a specific adaptive coarse space in two spatial dimensions.