A class of new generalized AOR method for augmented systems. (English)
Liu, Derong (ed.) et al., Advances in neural networks ‒ ISNN 2011. 8th international symposium on neural networks, ISNN 2011, Guilin, China, May 29 ‒ June 1, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-21104-1/pbk). Lecture Notes in Computer Science 6675, 158-165 (2011).
Summary: In this paper, a class of new generalized AOR (GAOR) method with four parameters for augmented systems is established. This new method includes the SOR-Like method as a special case. The convergence of the new GAOR method for augmented systems is also studied. Numerical result is used to illustrate the efficiency of this new GAOR method.
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