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Solution of the Sylvester matrix equation AXBT + CXDT = E
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 18 ,  Issue 2  (June 1992) table of contents
Pages: 223 - 231  
Year of Publication: 1992
ISSN:0098-3500
Authors
Judith D. Gardiner  Univ. of California, Santa Barbara
Alan J. Laub  Univ. of California, Santa Barbara
James J. Amato  Univ. of New Mexico, Albuquerque
Cleve B. Moler  Univ. of New Mexico, Albuquerque
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 18,   Downloads (12 Months): 137,   Citation Count: 10
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ABSTRACT

A software package has been developed to solve efficiently the Sylvester-type matrix equation AXBT + CXDT = E. A transformation method is used which employs the QZ algorithm to structure the equation in such a way that it can be solved columnwise by a back substitution technique. The algorithm is an extension of the Bartels-Stewart method and the Hessenberg-Schur method. The numerical performance of the algorithms and software is demonstrated by application to near-singular systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ARNOLD, W F., AND LAUB, A. J Generalized eigenproblem algorithms and software for algebraic Riccati equations. Proc. IEEE 72, 12 (Dec. 1984), 1746-1754
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BYERS, R. A LINPACK-style condition estimator for the equation AX - XBr - C. IEEE Trans. Aut. Contr. AC~29, 10 (Oct. 1984), 926-928.
 
4
CHU, K.-W. E. The solution of the matrix equation AXB - CXD = E and (YA - DZ, YC - BZ) = (E, F). Lin. Alg. Appl. 93 (Aug. 1987), 93-105.
 
5
CLINE, A. K., MOLER, C. B., STEWART, G. W., ANn WmKINSO~, J.H. An estimate for the condition number of a matrix SIAM J. Numer. Anal. 16, 2 (Apr. 1979), 368-375.
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GOLUB, G. H., NAss, S., AND VAN LOAN, C.F. A Hessenberg-Schur method for the problem AX + XB = C. IEEE Trans. Aut. Control. AC-24, 6 (Dec. 1979), 909-913.
 
8
GOLUB, G. H., AND VAN LOAN, C.F. Matrix Computations. Johns Hopkins Univ. Press, Baltimore, Second Edition, 1989.
 
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HmHAM, N. J., AND HmHAM, D. J. Large growth factors in Gaussian elimination with pivoting. SIAM J. Matrix Anal. Appl. 10, 2 (Apr. 1989), 155-164.
 
12
K~GSTRSM, B., AND WESTIN, L. Generalized Schur methods with condition estimators for solving the generalized Sylvester equation. IEEE Trans. Aut. Control. AC-34, 7 (July 1989), 745-751.
 
13
LANCASTER, P. Theory of Matrices. Academic Press, New York, 1969.
 
14
MOLER, C. B., AND STEWART, G. W. An algorithm for generalized matrix eigenvalue problems. SIAM J. Numer. Anal. 10, 2 (Apr. 1973), 241-256.
 
15
SYLVEST~R, J J. Sur la solution du cas le plus g~n6ral des ~quations lin~aires en quantit~s binaires, c~est&-dire en quaternions ou en matrices du second ordres. Sur la r~solution g~n~rale de F6quation lin~aire en matrices d'un ordre quelconque. Sur F~quation lin~aire trin6me en matrices d~un ordre quelconque. Comptes Rendus Acad. $ci. 99 (1884), 117-118, 409-412, 432-436, 527-529.
 
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CITED BY  10
 
 
 
 
 


REVIEW

"Robert James Plemmons : Reviewer"

The authors have developed an efficient algorithm and software system for solving Sylvester-type matrix equations of the form AXBT+CXDT=E for   more...

Collaborative Colleagues:
Judith D. Gardiner: colleagues
Alan J. Laub: colleagues
James J. Amato: colleagues
Cleve B. Moler: colleagues

Peer to Peer - Readers of this Article have also read: