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  • 标题:Finding The Closest Persymmetric And Skew-Symmetric Matrices.
  • 本地全文:下载
  • 作者:María G. Eberle ; María C. Maciel
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2003
  • 卷号:XXII
  • 期号:20
  • 页码:1789-1802
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要:The class of Procrustes problems has many application in the biological, physical
    and social sciences just as in the investigation of elastic structures. The problem
    consists of solving a constrained linear least squares problem defined on a set of the space
    of matrices . The different problems are obtained varying the structure of the matrices
    belonging to the feasible set. Higham has solved the orthogonal, the symmetric and the
    positive definite cases. Raydán has studied the rectangular case and minimizing on a feasible
    set which is an intersection of convex sets of matrices. The method used is based on
    the alternate projection method. The Toeplitz cases has been analyzed by these authors.
    In this contribution, the theory and algorithm developed by Higham for the symmetric
    Procrustes problem are extended to the persymmetric and skew-symmetric cases. The
    singular value decomposition is used to analyze the problems and to characterized their
    solutions.
    Numerical difficulties are discussed and illustrated by examples.
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