Computer Generation of Symbolic Generalized Inverses and Applications to Physics and Data Analysis

  • W. J. Frawley


Problems in data analysis, electrical networks, and finite element methods often involve linear models having singular, square matrices or matrices which are not square. The concept of generalized inverse extends the ranges of application of the notion of matrix inverse to such matrices and provides powerful mathematical tools for handling them. The use of symbolic generalized inverses during the analyses of these problems is equally powerful but requires more manipulation than can be reasonably performed by a human analyst. In this paper, the symbolic calculation of the Moore-Penrose generalized inverse, based on Albert’s limit formulation, will be expressed in Macsyma and examples of its use will be given. In particular, the computer derivation of a novel form of the generalized inverse of a covariance matrix typically used in statistical analysis will be shown.


Generalize Inverse Roundoff Error Hand Calculation Algebraic Criterion Numerical Routine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Kluwer Academic Publishers 1985

Authors and Affiliations

  • W. J. Frawley
    • 1
  1. 1.Fundamental Research LaboratoryGTE LaboratoriesWalthamUSA

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