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GENERALIZED PADE APPROXIMATION TECHNIQUES AND MULTIDIMENSIONAL SYSTEMS

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Date Issued:
1983
Summary:
Two algorithms for greatest common factor (GCF) extraction from two multivariable polynomials, based on generalized Pade approximation, are presented. The reduced transfer matrices for two-dimensional (20) systems are derived from two 20 state-space models. Tests for product and sum separabilities of multivariable functions are also given.
Title: GENERALIZED PADE APPROXIMATION TECHNIQUES AND MULTIDIMENSIONAL SYSTEMS.
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Name(s): MESSITER, MARK A.
Florida Atlantic University, Degree grantor
Shamash, Yacov A., Thesis advisor
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1983
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 80 p.
Language(s): English
Summary: Two algorithms for greatest common factor (GCF) extraction from two multivariable polynomials, based on generalized Pade approximation, are presented. The reduced transfer matrices for two-dimensional (20) systems are derived from two 20 state-space models. Tests for product and sum separabilities of multivariable functions are also given.
Identifier: 14175 (digitool), FADT14175 (IID), fau:10987 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.E.)--Florida Atlantic University, 1983.
Subject(s): Multivariate analysis
Padé approximant
Polynomials
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/14175
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.