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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국전산응용수학회 Journal of applied mathematics & informatics Journal of applied mathematics & informatics 제33권 제1호
- 발행연도
- 2015.1
- 수록면
- 193 - 201 (9page)
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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.
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참고문헌 (5)
참고문헌 신청
A. Berman / 1994 / Nonnegative Matrices in the Mathematical Sciences / SIAM Press
R.S. Varga. / 2000 / Springer Series in Computational Mathematics, vol. 27 / Springer-Verlag
G. B. Wang. / 2013 / Some results on preconditioned GAOR methods / Appl. Math. Comput 219:5811~5816
J. H. Yun / 2012 / Comparison results on the preconditioned GAOR method for generalized least squares problems / Int. J. Comput. Math 89:2094~2105
X. X. Zhou. / 2009 / Preconditioned GAOR methods for solving weighted linear least squares problems / J. Comput. Appl. Math 224:242~249
R.S. Varga. / 2000 / Springer Series in Computational Mathematics, vol. 27 / Springer-Verlag
G. B. Wang. / 2013 / Some results on preconditioned GAOR methods / Appl. Math. Comput 219:5811~5816
J. H. Yun / 2012 / Comparison results on the preconditioned GAOR method for generalized least squares problems / Int. J. Comput. Math 89:2094~2105
X. X. Zhou. / 2009 / Preconditioned GAOR methods for solving weighted linear least squares problems / J. Comput. Appl. Math 224:242~249
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