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DISCOVER. SHARE. PRESENT
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1 Chapter 1 Vectors Matrices and Systems of Linear Equations
2 Chapter 2 Linear Independence Span and Bases
3 Chapter 3 Linear Transformations
4 Chapter 4 Determinants and Eigenvalues
5 Chapter 5 Inner Product Spaces Orthogonal Projection Least Squares and Singular Value Decomposition
6 Chapter 6 Canonical Forms
7 Chapter 7 Unitary Similarity Normal Matrices and Spectral Theory
8 Chapter 8 Hermitian and Positive Definite Matrices
9 Chapter 9 Nonnegative Matrices and Stochastic Matrices
10 Chapter 10 Partitioned Matrices
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