
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
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.
This text investigates the theoretical solvability and practical computability of inverse eigenvalue problems across diverse scientific and engineering applications. Authors Gene H. Golub and Moody T. Chu, both distinguished researchers in numerical linear algebra, provide a rigorous framework for understanding the mathematical properties of these problems. The book synthesizes existing research, explores various numerical techniques, and identifies open questions to guide further inquiry in the field.
What You Will Find
Experts recognize this work as a foundational text for graduate students and researchers specializing in numerical linear algebra. Readers frequently note the high level of academic density and the technical precision required to engage with the presented methodologies.
Page Count:
406
Publication Date:
2005-09-02
Publisher:
Oxford University Press
ISBN-10:
0198566646
ISBN-13:
9780198566649
No comments yet. Be the first to share your thoughts!