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Introduction to Vectors | |
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Vectors and linear combinations | |
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Lengths and dot products | |
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Matrices | |
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Solving Linear Equations | |
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Vectors and linear equations | |
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The idea of elimination | |
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Elimination using matrices | |
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Rules for matrix operations | |
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Inverse matrices | |
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Elimination = factorization: A = LU | |
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Transposes and permutations | |
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Vector Spaces and Subspaces | |
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Spaces of vectors | |
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The nullspace of A: solving Ax = 0 | |
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The rank and the row reduced form | |
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The complete solution to Ax = b | |
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Independence, basis and dimension | |
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Dimensions of the four subspaces | |
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Orthogonality | |
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Orthogonality of the four subspaces | |
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Projections | |
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Least squares approximations | |
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Orthogonal bases and Gram-Schmidt | |
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Determinants | |
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The properties of determinants | |
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Permutations and cofactors | |
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Cramer's rule, inverses, and Volumes | |
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Eigenvalues and Eigenvectors | |
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Introduction to eigenvalues | |
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Diagonalizing a matrix | |
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Applications to differential equations | |
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Symmetric matrices | |
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Positive definite matrices | |
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Similar matrices | |
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Singular value decomposition (SVD) | |
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Linear Transformations | |
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The idea of a linear transformation | |
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The matrix of a linear transformation | |
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Diagonalization and the pseudoinverse | |
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Applications | |
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Matrices in engineering | |
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Graphs and networks | |
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Markov matrices, population, and economics | |
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Linear programming | |
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Fourier series: linear algebra for functions | |
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Linear algebra for statistics and probability | |
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Computer graphics | |
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Numerical Linear Algebra | |
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Gaussian elimination in practice | |
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Norms and condition numbers | |
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Iterative methods for linear algebra | |
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Complex Vectors and Matrices | |
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Complex numbers | |
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Hermitian and unitary matrices | |
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The fast Fourier transform | |
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Solutions to selected exercises | |
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Matrix factorizations | |
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Conceptual questions for review | |
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Glossary: a dictionary for linear algebra | |
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Index | |
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Teaching codes | |