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- W3195655016 abstract "Saddle point problems arise in many areas of scientific computing and engineering applications. Several methods are proposed for solving saddle point problems which has appeared in many different applications of scientific computing. This paper proposed a new generalized successive overrelaxation acceleration of positive definite and skew-symmetric splitting iteration method (PSS-GSOR) for solving the large sparse saddle point problem. The new method splits the coefficient matrix by a positive definite matrix and a skew-symmetric matrix, and constructs a new generalized successive overrelaxation iterative method. Theoretical analysis shows that the new method is convergence. And numerical experiments are given to show that the new method is efficient and more competitive than SOR-Like iteration method and GSOR iteration method. In addition, numerical experiment analyzes the sensitivity of the parameters and finds the approximate optimal parameters." @default.
- W3195655016 created "2021-08-30" @default.
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- W3195655016 date "2021-05-28" @default.
- W3195655016 modified "2023-10-16" @default.
- W3195655016 title "A new generalized successive-overrelaxation iteration method for solving saddle point problems" @default.
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- W3195655016 doi "https://doi.org/10.1145/3469213.3470355" @default.
- W3195655016 hasPublicationYear "2021" @default.
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