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Vectors, Matrices, and Linear Systems | |
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Vectors in Euclidean Spaces | |
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The Norm and the Dot Product | |
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Matrices and Their Algebra | |
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Solving Systems of Linear Equations | |
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Inverses of Square Matrices | |
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Homogeneous Systems, Subspaces, and Bases | |
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Application to Population Distribution (Optional) | |
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Application to Binary Linear Codes (Optional) | |
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Dimension, Rank, and Linear Transformations | |
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Independence and Dimension | |
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The Rank of a Matrix | |
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Linear Transformations of Euclidean Spaces | |
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Linear Transformations of the Plane (Optional) | |
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Lines, Planes, and Other Flats (Optional) | |
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Vector Spaces | |
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Vector Spaces | |
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Basic Concepts of Vector Spaces | |
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Coordinatization of Vectors | |
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Linear Transformations | |
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Inner-Product Spaces (Optional) | |
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Determinants | |
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Areas, Volumes, and Cross Products | |
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The Determinant of a Square Matrix | |
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Computation of Determinants and Cramer's Rule | |
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Linear Transformations and Determinants (Optional) | |
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Eigenvalues and Eigenvectors | |
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Eigenvalues and Eigenvectors | |
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Diagonalization | |
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Two Applications | |
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Orthogonality | |
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Projections | |
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The Gram-Schmidt Process | |
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Orthogonal Matrices | |
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The Projection Matrix | |
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The Method of Least Squares | |
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Change of Basis | |
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Coordinatization and Change of Basis | |
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Matrix Representations and Similarity | |
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Eigenvalues: Further Applications and Computations | |
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Diagonalization of Quadratic Forms | |
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Applications to Geometry | |
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Applications to Extrema | |
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Computing Eigenvalues and Eigenvectors | |
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Complex Scalars | |
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Algebra of Complex Numbers | |
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Matrices and Vector Spaces with Complex Scalars | |
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Eigenvalues and Diagonalization | |
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Jordan Canonical Form | |
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Solving Large Linear Systems | |
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Considerations of Time | |
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The LU-Factorization | |
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Pivoting, Scaling, and Ill-Conditioned Matrices | |
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Appendices | |
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Mathematical Induction | |
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Two Deferred Proofs | |
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LINTEK Routines | |
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MATLAB Procedures and Commands Used in the Exercises | |
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Appendices | |