Preface |
Linear Equations / 1.: |
Introduction / 1.1: |
Gaussian Elimination and Matrices / 1.2: |
Gauss-Jordan Method / 1.3: |
Two-Point Boundary Value Problems / 1.4: |
Making Gaussian Elimination Work / 1.5: |
Ill-Conditioned Systems / 1.6: |
Rectangular Systems and Echelon Forms / 2.: |
Row Echelon Form and Rank / 2.1: |
Reduced Row Echelon Form / 2.2: |
Consistency of Linear Systems / 2.3: |
Homogeneous Systems / 2.4: |
Nonhomogeneous Systems / 2.5: |
Electrical Circuits / 2.6: |
Matrix Algebra / 3.: |
From Ancient China to Arthur Cayley / 3.1: |
Addition and Transposition / 3.2: |
Linearity / 3.3: |
Why Do It This Way / 3.4: |
Matrix Multiplication / 3.5: |
Properties of Matrix Multiplication / 3.6: |
Matrix Inversion / 3.7: |
Inverses of Sums and Sensitivity / 3.8: |
Elementary Matrices and Equivalence / 3.9: |
The LU Factorization / 3.10: |
Vector Spaces / 4.: |
Spaces and Subspaces / 4.1: |
Four Fundamental Subspaces / 4.2: |
Linear Independence / 4.3: |
Basis and Dimension / 4.4: |
More about Rank / 4.5: |
Classical Least Squares / 4.6: |
Linear Transformations / 4.7: |
Change of Basis and Similarity / 4.8: |
Invariant Subspaces / 4.9: |
Norms, Inner Products, and Orthogonality / 5.: |
Vector Norms / 5.1: |
Matrix Norms / 5.2: |
Inner-Product Spaces / 5.3: |
Orthogonal Vectors / 5.4: |
Gram-Schmidt Procedure / 5.5: |
Unitary and Orthogonal Matrices / 5.6: |
Orthogonal Reduction / 5.7: |
Discrete Fourier Transform / 5.8: |
Complementary Subspaces / 5.9: |
Range-Nullspace Decomposition / 5.10: |
Orthogonal Decomposition / 5.11: |
Singular Value Decomposition / 5.12: |
Orthogonal Projection / 5.13: |
Why Least Squares? / 5.14: |
Angles between Subspaces / 5.15: |
Determinants / 6.: |
Additional Properties of Determinants / 6.1: |
Eigenvalues and Eigenvectors / 7.: |
Elementary Properties of Eigensystems / 7.1: |
Diagonalization by Similarity Transformations / 7.2: |
Functions of Diagonalizable Matrices / 7.3: |
Systems of Differential Equations / 7.4: |
Normal Matrices / 7.5: |
Positive Definite Matrices / 7.6: |
Nilpotent Matrices and Jordan Structure / 7.7: |
Jordan Form / 7.8: |
Functions of Nondiagonalizable Matrices / 7.9: |
Difference Equations, Limits, and Summability / 7.10: |
Minimum Polynomials and Krylov Methods / 7.11: |
Perron-Frobenius Theory / 8.: |
Positive Matrices / 8.1: |
Nonnegative Matrices / 8.3: |
Stochastic Matrices and Markov Chains / 8.4: |
Index |
Preface |
Linear Equations / 1.: |
Introduction / 1.1: |
Gaussian Elimination and Matrices / 1.2: |
Gauss-Jordan Method / 1.3: |
Two-Point Boundary Value Problems / 1.4: |