Year 2022,
Volume: 5 Issue: 2, 98 - 105, 01.06.2022
Oguzer Sinan
,
Sefa Baydak
,
Ahmet Duman
,
Kemal Aydın
References
-
[1] O. Akın, H. Bulgak, Linear Difference Equations and Stability Theory [in Turkish], Selc¸uk University, Research Center of Applied Mathematics, Konya, 1998.
-
[2] H. Bulgak, Pseudo Eigenvalues, Spectral Portrait of a Matrix and Their Connections with Different Criteria of Stability, In: Error control in Adaptivity in Scientific Computing, H. Bulgak, C. Zenger (editors), NATO Science Series, Kluwer Academic Publishers, 1999, (pp. 95-124).
-
[3] G. Alexander, Kronecker Products and Matrix Calculus with Applications, John Wiley & Sons, N.Y, 1981.
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[4] G. H. Golub C. F. VanLoan, Matrix Computations, The Johns Hopkins University Press, Baltimore, MD, 2013.
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[5] K. Aydın, G. C. Kızılkan, A. O. C¸ ıbıkdiken, Generalized iterative decreasing method, European J. Pure Appl. Math., 3(5)(2010), 819-830.
-
[6] T. Keskin, K. Aydın, Iterative decreasing dimension algorithm, Comput. Math. Appl., 53(1)(2007), 1153-1158.
-
[7] H. Vang, J. Jiang, Solution of the system of linear algebraic equations by decreasing dimension, Appl. Math. Comput., 109(1)(2000), 51-57.
Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method
Year 2022,
Volume: 5 Issue: 2, 98 - 105, 01.06.2022
Oguzer Sinan
,
Sefa Baydak
,
Ahmet Duman
,
Kemal Aydın
Abstract
The existence of a solution of continuous and discrete-time Lyapunov matrix equations was studied. Both Lyapunov matrix equations are transformed into a matrix-vector equation and the solution of the obtained new system was examined. The iterative decreasing dimension method (IDDM) was implemented for solving the generated matrix-vector equation. Computations have been done with Maple procedures that run the constituted algorithms.
Thanks
The authors would like to express their sincere thanks to the editor and the anonymous reviewers
for their helpful comments and suggestions.
References
-
[1] O. Akın, H. Bulgak, Linear Difference Equations and Stability Theory [in Turkish], Selc¸uk University, Research Center of Applied Mathematics, Konya, 1998.
-
[2] H. Bulgak, Pseudo Eigenvalues, Spectral Portrait of a Matrix and Their Connections with Different Criteria of Stability, In: Error control in Adaptivity in Scientific Computing, H. Bulgak, C. Zenger (editors), NATO Science Series, Kluwer Academic Publishers, 1999, (pp. 95-124).
-
[3] G. Alexander, Kronecker Products and Matrix Calculus with Applications, John Wiley & Sons, N.Y, 1981.
-
[4] G. H. Golub C. F. VanLoan, Matrix Computations, The Johns Hopkins University Press, Baltimore, MD, 2013.
-
[5] K. Aydın, G. C. Kızılkan, A. O. C¸ ıbıkdiken, Generalized iterative decreasing method, European J. Pure Appl. Math., 3(5)(2010), 819-830.
-
[6] T. Keskin, K. Aydın, Iterative decreasing dimension algorithm, Comput. Math. Appl., 53(1)(2007), 1153-1158.
-
[7] H. Vang, J. Jiang, Solution of the system of linear algebraic equations by decreasing dimension, Appl. Math. Comput., 109(1)(2000), 51-57.