Block Triangular and Skew-Hermitian Splitting Methods for Positive-Definite Linear Systems 论文
2005SIAM Journal on Scientific Computing引用 316
Matrix Theory and AlgorithmsNumerical methods for differential equationsAdvanced Optimization Algorithms Research
摘要
By further generalizing the concept of Hermitian (or normal) and skew-Hermitian splitting for a non-Hermitian and positive-definite matrix, we introduce a new splitting, called positive-definite and skew-Hermitian (PS) splitting, and then establish a class of positivedefinite and skew-Hermitian splitting (PSS) methods similar to the Hermitian (or normal) and skew-Hermitian splitting (HSS or NSS) method for iteratively solving the positive definite systems of linear equations. Theoretical analysis shows that the PSS method converges # Subsidized by The Special Funds For Major State Basic Research Projects G1999032803.