Inverse Eigenvalue Problems - Theory, Algorithms, and Applications (Hardcover)

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Inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions-the theoretic issue on solvability and the practical issue on computability. Both questions are difficult and challenging. In this text, the authors discuss the fundamental questions, some known results, many applications, mathematical properties, a variety of numerical techniques as well as several open problems. This is the first book in the authoritative Numerical Mathematics and Scientific Computation series to cover numerical linear algebra, a broad area of numerical analysis. Authored by two world-renowned researchers, this book is aimed at graduates and researchers in applied mathematics, engineering and computer science and makes an ideal graduate text.

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Product Description

Inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions-the theoretic issue on solvability and the practical issue on computability. Both questions are difficult and challenging. In this text, the authors discuss the fundamental questions, some known results, many applications, mathematical properties, a variety of numerical techniques as well as several open problems. This is the first book in the authoritative Numerical Mathematics and Scientific Computation series to cover numerical linear algebra, a broad area of numerical analysis. Authored by two world-renowned researchers, this book is aimed at graduates and researchers in applied mathematics, engineering and computer science and makes an ideal graduate text.

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Product Details

General

Imprint

Oxford UniversityPress

Country of origin

United Kingdom

Series

Numerical Mathematics and Scientific Computation

Release date

June 2005

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

September 2005

Authors

,

Dimensions

242 x 163 x 26mm (L x W x T)

Format

Hardcover

Pages

406

ISBN-13

978-0-19-856664-9

Barcode

9780198566649

Categories

LSN

0-19-856664-6



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