Symplectic Methods for the Symplectic Eigenproblem

Author:   Heike Fassbender
Publisher:   Springer Science+Business Media
Edition:   2002 ed.
ISBN:  

9780306464782


Pages:   269
Publication Date:   30 November 2000
Format:   Hardback
Availability:   In Print   Availability explained
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Symplectic Methods for the Symplectic Eigenproblem


Overview

The symplectic eigenvalue problem is helpful in analyzing a number of different questions that arise in linear control theory for discrete-time systems. Industrial production and technological processes may suffer from unwanted behaviour, for example, losses in the start-up and change-over phases of operation, pollution, emission of harmful elements, and production of unwanted by-products. Control techniques offer the possibility of analyzing such processes in order to detect the underlying causes of the unwanted behaviour. This monograph describes techniques for solving small to medium-sized as well as large and sparse symplectic eigenvalue problems. The text presents all developed algorithms in Matlab-programming style and numerical examples to demonstrate their abilities, all of which makes the text accessible to graduate students in applied mathematics and control engineering, as well as to researchers in these areas.

Full Product Details

Author:   Heike Fassbender
Publisher:   Springer Science+Business Media
Imprint:   Plenum Publishing Co.,N.Y.
Edition:   2002 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   1.290kg
ISBN:  

9780306464782


ISBN 10:   0306464780
Pages:   269
Publication Date:   30 November 2000
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preliminaries.- The Butterfly Form for Symplectic Matrices and Matrix Pencils.- Butterfly SR and SZ Algorithms.- The Symplectic Lanczos Algorithm.- Concluding Remarks.

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