Abstract
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.
The project Supported by ‘QingLan’ Talent Engineering Funds and SRF(TSA0928) by Tianshui Normal University.
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Zhang, Yx., Ding, Hf., He, Ws., Wang, Sf. (2011). A Class of New Generalized AOR Method for Augmented Systems. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21105-8_20
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DOI: https://doi.org/10.1007/978-3-642-21105-8_20
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