a class of nested iteration schemes for generalized coupled sylvester matrix equation

Global krylov subspace methods are the most efficient and robust methods to solve generalized coupled sylvester matrix equation. in this paper, we propose the nested splitting conjugate gradient process for solving this equation. this method has inner and outer iterations, which employs the generalized conjugate gradient method as an inner iteration to approximate each outer iterate, while each outer iteration is induced by a convergence and symmetric positive definite splitting of the coefficient matrices. convergence properties of this method are investigated. finally, the effectiveness of the nested splitting conjugate gradient method is explained by some numerical examples.