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.

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

등록된 사용후기

사용후기 쓰기 새 창 더보기

사용후기가 없습니다.

등록된 상품문의

상품문의 쓰기새 창 더보기

상품문의가 없습니다.

배송정보

교환/반품 정보