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Nested splitting conjugate gradient method for matrix equation $$AXB=C$$ and preconditioning. (English) Zbl 1347.65078
Summary: In this paper, we present a nested splitting conjugate gradient (NSCG) iteration method for solving a class of matrix equations with nonsymmetric coefficient matrices. This method actually consists of inner/outer iterations, which employs a CG-like method as inner iteration to approximate each outer iterate, while each outer iteration is induced by a convergent and symmetric positive definite splitting of the coefficient matrices. Convergence conditions of this method are studied in depth and numerical experiments show the efficiency of this method. Moreover, we show that the use of the quasi-Hermitian splitting as a preconditioner can induce an accurate, robust and effective preconditioned Krylov subspace method.

##### MSC:
 65F30 Other matrix algorithms (MSC2010) 65F08 Preconditioners for iterative methods 65F10 Iterative numerical methods for linear systems 15A24 Matrix equations and identities
##### Software:
Harwell-Boeing sparse matrix collection
Full Text:
##### References:
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