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Gradient Based Iterative Solutions for Sylvester-Conjugate Matrix Equations

     

摘要

This paper presents a gradient based iterative algorithm for Sylvester-conjugate matrix equations with a unique solution.By introducing a relaxation parameter and applying the hierarchical identification principle,an iterative algorithm is constructed to solve Sylvester matrix equations.By applying a real representation of a complex matrix as a tool and using some properties of the real representation,convergence analysis indicates that the iterative solutions converge to the exact solutions for any initial values under certain assumptions.Numerical examples are given to illustrate the efficiency of the proposed approach.

著录项

  • 来源
    《数学研究及应用》|2017年第3期|351-366|共16页
  • 作者单位

    Department of Mathematics, Northeastern University, Liaoning 110819, P.R.China;

    Department of Mathematics, Northeastern University, Liaoning 110819, P.R.China;

    Department of Mathematics, Northeastern University, Liaoning 110819, P.R.China;

    Department of Mathematics, Northeastern University, Liaoning 110819, P.R.China;

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