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4 Chapter 4 Determinants and Eigenvalues

20 Chapter 20 Inverse Eigenvalue Problems

7 Chapter 7 Unitary Similarity Normal Matrices and Spectral Theory

10 Chapter 10 Partitioned Matrices

68 Chapter 68 Group Representations

9 Chapter 9 Nonnegative Matrices and Stochastic Matrices

73 Chapter 73 Mathematica

46 Chapter 46 Computing Eigenvalues and Singular Values to High Relative Accuracy

52 Chapter 52 Random Vectors and Linear Statistical Models

8 Chapter 8 Hermitian and Positive Definite Matrices
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