This book is available in Oxford Scholarship Online
| Reviews |
| - 'A valuable tool for postgraduates, engineers and mathematicians in the area.' - Amin Boumenir, Zentralblatt MATH, Vol 1075
- 'The book collects together much material not previosly available in book form and benefits from both authors' many years of experience of working on inverse eigenvalue and related problems.' - Nicholas J Higham, Fluid Mechanics, Vol 556
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| Description | | - Timely text from world- class researchers
- Broad in scope, highlighting recent and important results
- Ideal as a graduate text for mathematicians and engineers
| Inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions--the theoretical issue of solvability and the practical issue of 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, the book is aimed at graduates and researchers in applied mathematics, engineering and
computer science and makes an ideal graduate text. |
Readership: Aimed at graduates and researchers in applied mathematics, engineering and computer science; an ideal graduate text
| Contents |
Preface
1.
Introduction
2.
Applications
3.
Parameterized Inverse Eigenvalue Problems
4.
Structured Inverse Eigenvalue Problems
5.
Partially Described Inverse Eigenvalue Problems
6.
Least Squares Inverse Eigenvalue Problems
7.
Spectrally Constrained Approximation
8.
Structured Low Rank Approximation
9.
Group Orbitally Constrained Approximation
Index
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| Authors, editors,
and contributors |
Moody T. Chu, Professor, North Carolina State University and
Gene H. Golub, Professor, Stanford University
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