Solution of quadratic matrix equations by least-squares method
Authors:
Charles C. Lee and H. P. Niu
Journal:
Quart. Appl. Math. 30 (1972), 345-350
MSC:
Primary 65F99
DOI:
https://doi.org/10.1090/qam/403194
MathSciNet review:
403194
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Abstract: A least-square method is described for obtaining the solutions $A$ and $B$ for the matrix equations ${Y^2} - YD + S = 0$ and ${Y^2} - DY + S = 0$ respectively. No limitation is set on $A$, $B$, $D$, and $S$ except that they be square matrices. An illustrated example, including computing procedures, is discussed. The mathematical solutions presented should prove useful for solving the eigenvalue problem $\left ( {{\lambda ^2}I + \lambda D + S} \right )X = 0$, especially when the dimension of the matrices is large.
- J. E. McFarland, An iterative solution of the quadratic equation in Banach space, Proc. Amer. Math. Soc. 9 (1958), 824–830. MR 96147, DOI https://doi.org/10.1090/S0002-9939-1958-0096147-8
- Wyman Glen Fair, FORMAL CONTINUED FRACTIONS AND APPLICATIONS, ProQuest LLC, Ann Arbor, MI, 1968. Thesis (Ph.D.)–University of Kansas. MR 2618083
Louis G. Kelly, Handbook of numerical methods and applications, Addison-Wesley, Reading, Mass. 1967, pp. 63–66, 127–141
Francis Scheid, Theory and problems of numerical analysis, McGraw-Hill, New York, 1968, pp. 235–266, 294–309, 375–377
J. E. McFarland, An iterative solution of the quadratic equation in Banach space, Proc. Amer. Math. Soc. 9, 824–830 (1958)
Wyman G. Fair, Formal continued fractions and applications, Ph.D. thesis, University of Kansas, 1968, pp. 14–45
Louis G. Kelly, Handbook of numerical methods and applications, Addison-Wesley, Reading, Mass. 1967, pp. 63–66, 127–141
Francis Scheid, Theory and problems of numerical analysis, McGraw-Hill, New York, 1968, pp. 235–266, 294–309, 375–377
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Article copyright:
© Copyright 1972
American Mathematical Society