Based on norm-minimization technique, a parallel sparse approximate inversepreconditioning method (PPAT method) is present for the unsymmetric sparselinear systems. The sparsity pattern of the approximate inverse is t...Based on norm-minimization technique, a parallel sparse approximate inversepreconditioning method (PPAT method) is present for the unsymmetric sparselinear systems. The sparsity pattern of the approximate inverse is the same as thatof the transpose of the coefficient matrix. This keeps the amount of work and theneed of storage small. The computation of the preconditioner is inherently parallel.Some numerical experiments show that PPAT preconditioners can accelerate theconvergence.展开更多
文摘Based on norm-minimization technique, a parallel sparse approximate inversepreconditioning method (PPAT method) is present for the unsymmetric sparselinear systems. The sparsity pattern of the approximate inverse is the same as thatof the transpose of the coefficient matrix. This keeps the amount of work and theneed of storage small. The computation of the preconditioner is inherently parallel.Some numerical experiments show that PPAT preconditioners can accelerate theconvergence.
