Numerical algorithms for solving the least squares symmetric problem of matrix equation AXB + CXD = E

Cites Work

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A system of quaternary coupled Sylvester-type real quaternion matrix equations
Solvability of $AXB - CXD = E$ in the operators algebra $B(H)$
Least-squares solution with the minimum-norm for the matrix equation $(A\times B,G\times H) = (C,D)$
An iterative method for the symmetric and skew symmetric solutions of a linear matrix equation $AXB+CYD=E$
An efficient algorithm for the least-squares reflexive solution of the matrix equation $A_{1}XB_{1} = C_{1}, A_{2}XB_{2} = C_{2}$
The reflexive and anti-reflexive solutions of the matrix equation $A^{H}XB=C$
Symmetric and skew-antisymmetric solutions to systems of real quaternion matrix equations
Inverse eigenvalue problems of tridiagonal symmetric matrices and tridiagonal bisymmetric matrices
Least squares Hermitian solution of the matrix equation $(AXB,CXD)=(E,F)$ with the least norm over the skew field of quaternions
Successive projection iterative method for solving matrix equation $AX=B$
The bisymmetric solutions of the matrix equation $A_{1}X_{1}B_{1}+A_{2}X_{2}B_{2}+\cdots+A_{l}X_{l}B_{l}=C$ and its optimal approximation
Ranks and the least-norm of the general solution to a system of quaternion matrix equations
Singular value and generalized singular value decompositions and the solution of linear matrix equations
On solutions of matrix equation $AXB+CYD=F$
A simultaneous decomposition for seven matrices with applications
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L-structured matrices and linear matrix equations^∗
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Computational Methods for Linear Matrix Equations
The Matrix Equation $AXB + CXD = E$
Least Squares Solution of Matrix Equation $AXB^* + CYD^* = E$
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Biconjugate residual algorithm for solving general Sylvester-transpose matrix equations
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An accelerated Jacobi-gradient based iterative algorithm for solving sylvester matrix equations
Best Approximate Solution of Matrix Equation AXB+CYD=E
Two-sided coupled generalized Sylvester matrix equations solving using a simultaneous decomposition for fifteen matrices

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