Abstract
The orthogonal Procrustes problem involves finding an orthogonal matrix which transforms one given matrix into another in the least-squares sense, and thus it requires the minimization of the Frobenius matrix norm. We consider, the solution of this problem for a family of orthogonally invariant norms which includes the Frobenius norm as a special case.
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References
J.E. Brock, Optimal matrices describing linear systems, AIAA Journal 6(1968)1292–1296.
M.T. Chu, Least squares approximation by real normal matrices with specified spectrum, SIAM J. Matrix Anal. Appl. 12(1991) 115–127.
M.T. Chu and K.R. driessel, The projected gradient method for least squares matrix approximations with spectral constraints, SIAM J. Num. Anal. 27(1990)1050–1060.
K. Fan and A.J. Hoffman, Some metric inequalities in the space of matrices, Proc. Amer. Math. Soc. 6(1955)111–116.
G.H. Golub and C.F. Van Loan,Matrix Computations, 2nd ed. (Johns Hopkins University Press, Baltimore, MD, 1989).
J.C. Gower, Multivariable analysis: Ordination, multidimensional scaling and allied topics, in:Handbook of Applicable Mathematics, Vol. VI:Statistics, ed. E.H. Lloyd (Wiley, Chichester, 1984) pp. 727–781.
B. Green, The orthogonal approximation of an oblique structure in factor analysis, Psychometrika 17(1952)429–440.
R.J. Hanson and M.J. Norris, Analysis of measurements based on the singular value decomposition, SIAM J. Sci. Statist. Comp. 2(1981)363–374.
P. Schonemann, A generalized solution of the orthogonal Procrustes problem, Psychometrika 31(1966) 1–10.
G.A. Watson, Solving generalization of orthogonal Procrustes problems, World Scientific Series in Applicable Analysis 2(1993)413–426.
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Watson, G.A. The solution of orthogonal Procrustes problems for a family of orthogonally invariant norms. Adv Comput Math 2, 393–405 (1994). https://doi.org/10.1007/BF02521606
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DOI: https://doi.org/10.1007/BF02521606