頁數:440
版次:第6版
年份:2023年
規格:精裝/單色
ISBN:9781733146678
1 Vectors and Matrices
2 Solving Linear Equations Ax = b
3 The Four Fundamental Subspaces
4 Orthogonality
5 Determinants
6 Eigenvalues and Eigenvector
7 The Singular Value Decomposition (SVD)
8 Linear Transformations
9 Linear Algebra in Optimization
10 Learning from Data
Appendix 1 The Ranks of AB and A + B
Appendix 2 Matrix Factorizations
Appendix 3 Counting Parameters in the Basic Factorizations
Appendix 4 Codes and Algorithms for Numerical Linear Algebra
Appendix 5 The Jordan Form of a Square Matrix
Appendix 6 Tensors
Appendix 7 The Condition Number of a Matrix Problem
Appendix 8 Markov Matrices and Perron-Frobenius
Appendix 9 Elimination and Factorization
Appendix 10 Computer Graphics