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                    M. G. Kamalvand and Kh. D. Ikramov, “A Method of the Congruent Type for Linear Systems with Conjugate-Normal Coefficient Matrices,” Computational Mathematics and Mathematical Physics, Vol. 49, No. 2, 2009, pp. 203-216. doi:10.1134/S0965542509020018
                
                
                    has been cited by the following article:
                
                
                    
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                                    TITLE: 
                        
                            Extension of Range of MINRES-CN Algorithm
                                
                                
                                    AUTHORS: 
                                            Mojtaba Ghasemi Kamalvand 
                                                    
                                                        KEYWORDS: 
                        Conjugate-Normal Matrices, MINRES-CN Algorithm, MINRES-CN2 Algorithm 
                                                    
                                                    
                                                        JOURNAL NAME: 
                        Applied Mathematics,  
                        Vol.2 No.12, 
                        December
                                                        27,
                        2011
                                                    
                                                    
                                                        ABSTRACT: MINRES-CN is an iterative method for solving systems of linear equations with conjugate-normal coefficient matrices whose conspectra are located on algebraic curves of a low degree. This method was proposed in a previous publication of author and KH. D. Ikramov. In this paper, the range of applicability of MINRES-CN is extended in new direction. These are conjugate normal matrices that are low rank perturbations of Symmetric matrices. Examples are given that demonstrate a higher efficiency of MINRES-CN for this class of systems compared to the well-known algorithm GMRES.