Readership: Aimed at graduates and researchers in applied mathematics, engineering and computer science; an ideal graduate text
Moody Chu, Professor, North Carolina State University, and Gene Golub, Professor, Stanford University
"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
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
