Abstract
By utilizing the preconditioned Hermitian and skew-Hermitian splitting (PHSS) iteration technique, we establish a non-alternating PHSS (NPHSS) iteration method for solving large sparse non-Hermitian positive definite linear systems. The convergence analysis demonstrates that the iterative series produced by the NPHSS method converge to the unique solution of the linear system when the parameters satisfy some moderate conditions. We also give a possible optimal upper bound for the iterative spectral radius. Moreover, to reduce the computational cost, we establish an inexact variant of the NPHSS (INPHSS) iteration method whose convergence property is studied. Both theoretical and numerical results validate that the NPHSS method outperforms the PHSS method when the Hermitian part of the coefficient matrix is dominant.
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References
Axelsson O, Bai ZZ, Qiu SX (2004) A class of nested iteration schemes for linear systems with a coefficient matrix with a dominant positive definite symmetric part. Numer Algorithms 35(2–4):351–372
Axelsson O, Neytcheva M, Ahmad B (2014) A comparison of iterative methods to solve complex valued linear algebraic systems. Numer Algorithms 66(4):811–841
Bai ZZ (2007) Splitting iteration methods for non-Hermitian positive definite systems of linear equations. Hokkaido Math J 36(4):801–814
Bai ZZ (2009) Optimal parameters in the HSS-like methods for saddle-point problems. Numer Linear Algebra Appl 16(6):447–479
Bai ZZ (2010) On semi-convergence of Hermitian and skew-Hermitian splitting methods for singular linear systems. Computing 89(3–4):171–197
Bai ZZ, Golub GH (2007) Accelerated Hermitian and skew-Hermitian splitting iteration methods for saddle-point problems. IMA J Numer Anal 27(1):1–23
Bai ZZ, Golub GH, Ng MK (2003) Hermitian and skew-Hermitian splitting methods for non-Hermitian positive definite linear systems. SIAM J Matrix Anal Appl 24(3):603–626
Bai ZZ, Golub GH, Pan JY (2004) Preconditioned Hermitian and skew-Hermitian splitting methods for non-Hermitian positive semidefinite linear systems. Numer Math 98(1):1–32
Bai ZZ, Golub GH, Lu LZ, Yin JF (2005) Block triangular and skew-Hermitian splitting methods for positive-definite linear systems. SIAM J Sci Comput 26(3):844–863
Bai ZZ, Golub GH, Li CK (2006) Optimal parameter in Hermitian and skew-Hermitian splitting method for certain two-by-two block matrices. SIAM J Sci Comput 28(2):583–603
Bai ZZ, Golub GH, Li CK (2007a) Convergence properties of preconditioned Hermitian and skew-Hermitian splitting methods for non-Hermitian positive semidefinite matrices. Math Comp 76(257):287–298
Bai ZZ, Golub GH, Ng MK (2007b) On successive-overrelaxation acceleration of the Hermitian and skew-Hermitian splitting iterations. Numer Linear Algebra Appl 14(4):319–335
Bai ZZ, Golub GH, Ng MK (2008) On inexact Hermitian and skew-Hermitian splitting methods for non-Hermitian positive definite linear systems. Linear Algebra Appl 428(2–3):413–440
Bai ZZ, Benzi M, Chen F (2010) Modified HSS iteration methods for a class of complex symmetric linear systems. Computing 87(3–4):93–111
Bai ZZ, Benzi M, Chen F (2011) On preconditioned MHSS iteration methods for complex symmetric linear systems. Numer Algorithms 56(2):297–317
Benzi M (2002) Preconditioning techniques for large linear systems: a survey. J Comput Phys 182(2):418–477
Benzi M (2009) A generalization of the Hermitian and skew-Hermitian splitting iteration. SIAM J Matrix Anal Appl 31(2):360–374
Cao Y, Tan WW, Jiang MQ (2012) A generalization of the positive-definite and skew-Hermitian splitting iteration. Numer Algebra Control Optim 2(4):811–821
Chen K (2005) Matrix preconditioning techniques and applications. Cambridge University Press, Cambridge
Chen M, Temam R (1993) Incremental unknowns in finite differences: condition number of the matrix. SIAM J Matrix Anal Appl 14(2):432–455
Douglas J Jr (1962) Alternating direction methods for three space variables. Numer Math 4:41–63
Huang YM (2014) A practical formula for computing optimal parameters in the HSS iteration methods. J Comput Appl Math 255:142–149
Li CX, Wu SL (2015) A single-step HSS method for non-Hermitian positive definite linear systems. Appl Math Lett 44:26–29
Li L, Huang TZ, Liu XP (2007a) Asymmetric Hermitian and skew-Hermitian splitting methods for positive definite linear systems. Comput Math Appl 54(1):147–159
Li L, Huang TZ, Liu XP (2007b) Modified Hermitian and skew-Hermitian splitting methods for non-Hermitian positive-definite linear systems. Numer Linear Algebra Appl 14(3):217–235
Li X, Yang AL, Wu YJ (2014a) Lopsided PMHSS iteration method for a class of complex symmetric linear systems. Numer Algorithms 66(3):555–568
Li X, Yang AL, Wu YJ (2014b) Parameterized preconditioned Hermitian and skew-Hermitian splitting iteration method for saddle-point problems. Int J Comput Math 91(6):1224–1238
Peaceman DW, Rachford HH Jr (1955) The numerical solution of parabolic and elliptic differential equations. J Soc Ind Appl Math 3:28–41
Saad Y (2003) Iterative methods for sparse linear systems, 2nd edn. Society for Industrial and Applied Mathematics, Philadelphia
Salkuyeh DK, Behnejad S (2012) ‘Modified Hermitian and skew-Hermitian splitting methods for non-Hermitian positive-definite linear systems’ [Numer. Linear Algebra Appl. 14, (2007) 217–235] [Letter to the editor]. Numer Linear Algebra Appl 19(5):885–890
Yang AL, Wu YJ (2014) Preconditioning analysis of the one dimensional incremental unknowns method on nonuniform meshes. J Appl Math Comput 44(1–2):379–395
Yang AL, An J, Wu YJ (2010) A generalized preconditioned HSS method for non-Hermitian positive definite linear systems. Appl Math Comput 216(6):1715–1722
Yang AL, Song LJ, Wu YJ (2013) Algebraic preconditioning analysis of the multilevel block incremental unknowns method for anisotropic elliptic operators. Math Comput Model 57(3–4):512–524
Yang AL, Wu YJ, Huang ZD, Yuan JY (2015) Preconditioning analysis of nonuniform incremental unknowns method for two dimensional elliptic problems. Appl Math Model. doi:10.1016/j.apm.2015.01.009
Yin JF, Dou QY (2012) Generalized preconditioned Hermitian and skew-Hermitian splitting methods for non-Hermitian positive-definite linear systems. J Comput Math 30(4):404–417
Acknowledgments
The authors would like to thank the referees for their valuable comments and suggestions which greatly improve the presentation of the paper. This work is supported by the National Natural Science Foundation of China (Grant Nos. 11471150, 11401281, 11271173), and the CAPES and CNPq in Brazil.
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Communicated by Ya-xiang Yuan.
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Wu, YJ., Li, X. & Yuan, JY. A non-alternating preconditioned HSS iteration method for non-Hermitian positive definite linear systems. Comp. Appl. Math. 36, 367–381 (2017). https://doi.org/10.1007/s40314-015-0231-6
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DOI: https://doi.org/10.1007/s40314-015-0231-6
Keywords
- Non-Hermitian positive definite linear systems
- Hermitian and skew-Hermitian splitting
- Non-alternating PHSS iteration
- Spectral radius
- Convergence analysis