Inverse Eigenvalue Problems: Theory, Algorithms, and Applications (Numerical Mathematics and Scientific Computation) by Moody T. Chu (PDF)

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.

User’s Reviews

Editorial Reviews: About the Author Moody Chu is currently an editor of the SIAM Journal on Matrix Analysis and Applications. He is a dedicated educators and has won outstanding teaching awards. Gene Golub has been and continues to be the editor of several important journals (Numerische Mathematik, Linear Algebra and Its Applications, Acta Numerica, etc.) in the field. He is a member of the National Academy of Engineering (1990) and of the National Academy of Sciences. He holds more than a dozen of Honorary Degrees or Honorary Fellows from around the world. He is a dedicated educators and has won outstanding teaching awards.

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