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

Authors
Ferng, WR Lin, WW Pierce, DJ Wang, CS
Citation
Wr. Ferng et al., Nonequivalence transformation of lambda-matrix eigenproblems and model embedding approach to model tuning, NUM LIN ALG, 8(1), 2001, pp. 53-70
Citations number
14
Categorie Soggetti
Mathematics
Journal title
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS
ISSN journal
10705325 → ACNP
Volume
8
Issue
1
Year of publication
2001
Pages
53 - 70
Database
ISI
SICI code
1070-5325(200101/02)8:1<53:NTOLEA>2.0.ZU;2-5
Abstract
In this paper we present some theory for a non-equivalence transformation o f matrix eigenvalues for lambda -matrix polynomials. Application of this tr ansformation to eigenvalue embedding for model tuning on a realistic indust ry 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 retorted. Copyri ght (C) 2001 John Wiley & Sons, Ltd.