Parallelizable restarted iterative methods for nonsymmetric linear systems. II: parallel implementation

1992 ◽  
Vol 44 (1-4) ◽  
pp. 269-290 ◽  
Author(s):  
Wayne D. Joubert ◽  
Graham F. Carey
2021 ◽  
Vol 293 ◽  
pp. 02013
Author(s):  
Jinmei Wang ◽  
Lizi Yin ◽  
Ke Wang

Solving dense linear systems of equations is quite time consuming and requires an efficient parallel implementation on powerful supercomputers. Du, Zheng and Wang presented some new iterative methods for linear systems [Journal of Applied Analysis and Computation, 2011, 1(3): 351-360]. This paper shows that their methods are suitable for solving dense linear system of equations, compared with the classical Jacobi and Gauss-Seidel iterative methods.


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