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8 Chapter 8 Hermitian and Positive Definite Matrices

14 Chapter 14 Matrix Equalities and Inequalities

41 Chapter 41 Iterative Solution Methods for Linear Systems

35 Chapter 35 Matrix Completion Problems

38 Chapter 38 Matrix Factorizations and Direct Solution of Linear Systems

7 Chapter 7 Unitary Similarity Normal Matrices and Spectral Theory

51 Chapter 51 Semidefinite Programming

40 Chapter 40 Sparse Matrix Methods

4 Chapter 4 Determinants and Eigenvalues

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