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.
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Article copyright:
© Copyright 1972
American Mathematical Society