Nonequivalence transformation of λ-matrix eigenproblems and model embedding approach to model tuning

William R. Ferng, Wen Wei Lin, Daniel J. Pierce, Chern Shuh Wang

Research output: Contribution to journalArticle

13 Citations (Scopus)


In this paper we present some theory for a non-equivalence transformation of matrix eigenvalues for λ-matrix polynomials. Application of this transformation to eigenvalue embedding for model tuning on a realistic industry problem is illustrated. The new approach has several advantages such as flexibility, efficiency, and structure-preservation. A numerical experiment on a pseudosimulation data set from The Boeing Company is reported.

Original languageEnglish
Pages (from-to)53-70
Number of pages18
JournalNumerical Linear Algebra with Applications
Issue number1
Publication statusPublished - 2001 Dec 1


All Science Journal Classification (ASJC) codes

  • Algebra and Number Theory
  • Applied Mathematics

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