• 제목/요약/키워드: Preconditioned GAOR method

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IMPROVING COMPARISON RESULTS ON PRECONDITIONED GENERALIZED ACCELERATED OVERRELAXATION METHODS

  • Wang, Guangbin;Sun, Deyu
    • Journal of applied mathematics & informatics
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    • 제33권1_2호
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    • pp.193-201
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    • 2015
  • In this paper, we present preconditioned generalized accelerated overrelaxation (GAOR) methods for solving weighted linear least square problems. We compare the spectral radii of the iteration matrices of the preconditioned and the original methods. The comparison results show that the preconditioned GAOR methods converge faster than the GAOR method whenever the GAOR method is convergent. Finally, we give a numerical example to confirm our theoretical results.