iterative method for mirror-symmetric solution of matrix equation axb + cy d = e

اسناد مشابه

• An efficient iterative method for solving the matrix equation AXB + CYD = E

  سند علمی۲۰۰۶Numerical Lin. Alg. with Applic.Zhen-yun Peng, Ya-Xin Peng

• Gradient-based maximal convergence rate iterative method for solving linear matrix equations

  سند علمی۲۰۱۰Int. J. Comput. Math.Bin Zhou, James Lam, Guang-Ren Duan

  This paper is concerned with numerical solutions to general linear matrix equations including the wellknown Lyapunov matrix equation and Sylvester matrix equation as special cases. Gradient based iterative algorithm is proposed to approximate the exact solution. A necessary and s

• On Two Iteration Methods for the Quadratic Matrix Equations

  سند علمی۲۰۰۶ZHONG-ZHI BAI

  By simply transforming the quadratic matrix equation into an equivalent fixed-point equation, we construct a successive approximation method and a Newton’s method based on this fixed-point equation. Under suitable conditions, we prove the local convergence of these two methods, a

• On iterative methods for the quadratic matrix equation with M-matrix

  سند علمی۲۰۱۱Applied Mathematics and ComputationBo Yu, Ning Dong, Qiong Tang, Feng-Hua Wen

  In this paper, we consider Newton’s method and Bernoulli’s method for a quadratic matrix equation arising from an overdamped vibrating system. By introducing M-matrix to this equation, we provide a sufficient condition for the existence of the primary solution. Moreover, we show

• Convergence Rate of an Iterative Method for a Nonlinear Matrix Equation

  سند علمی۲۰۰۱SIAM J. Matrix Analysis ApplicationsChun-Hua Guo

  We prove a convergence result for an iterative method, proposed recently by B. Meini, for finding the maximal Hermitian positive definite solution of the matrix equationX+A∗X−1A = Q, where Q is Hermitian positive definite.

• LSMR Iterative Method for General Coupled Matrix Equations

  مقاله‌ی دسترسی آزاد۲۰۱۵Journal of Applied MathematicsF.Toutounian, D.Khojasteh Salkuyeh, M.Mojarrab