Preface
Part I Linear Algebra
1 Basic Vector/Matrix Structure and Notation
2 Vectors and Vector Spaces
3 Basic Properties of Matrices
4 Vector/Matrix Derivatives and Integrals
5 Matrix Transformations and Factorizations
6 Solution of Linear Systems
7 Evaluation of Eigenvalues and Eigenvectors
Part II Applications in Data Analysis
8 Special Matrices and Operations Useful in Modeling
9 Selected Applications in Statistics
Part III Numerical Methods and Software
10 Numerical Methods
11Numerical Methods
12 Software for Numerical Linear Algebra
A Notation and Definitions
B Solutions and Hints for Selected Exercises
Bibliography
Index