Gilbert Strang · MIT 18.06

Linear Algebra

Subspaces, projections, least squares, determinants, eigenvalues and the SVD.

28 notes

Chapter 1

  1. Geometry of Linear Equations & Matrix Multiplications Strang · Chapter 1 Strang

Chapter 2

  1. Elimination & Permutation with Matrices Strang · Chapter 2 Strang

Chapter 3

  1. Inverse of a Matrix & Factorization into $A=LU$ Strang · Chapter 3 Strang

Chapter 4

  1. Vector Space and Subspace Strang · Chapter 4 Strang

Chapter 5

  1. Algorithm for solving $Ax=0$ Strang · Chapter 5 Strang

Chapter 6

  1. Algorithm for solving $Ax=b$ Strang · Chapter 6 Strang

Chapter 7

  1. Matrix Independence, Span, Basis & Dimension Strang · Chapter 7 Strang

Chapter 8

  1. Four Fundamental Subspaces Strang · Chapter 8 Strang

Chapter 9

  1. Matrix Spaces Strang · Chapter 9 Strang

Chapter 10

  1. Graphs, Networks and Incidence Matrices Strang · Chapter 10 Strang

Chapter 11

  1. Orthogonal Vectors and Orthogonal Subspaces Strang · Chapter 11 Strang

Chapter 12

  1. Projection of a Matrix Strang · Chapter 12 Strang

Chapter 13

  1. Projection Matrices and Least Squares Strang · Chapter 13 Strang

Chapter 14

  1. Orthonormal Vectors, Orthogonal Matrices and Gram-Schmidt Method Strang · Chapter 14 Strang

Chapter 15

  1. Determinant Strang · Chapter 15 Strang

Chapter 16

  1. Determinant and Cofactors Strang · Chapter 16 Strang

Chapter 17

  1. Formula for $A^{-1}$ and Cramer's Rule Strang · Chapter 17 Strang

Chapter 18

  1. Eigenvalues and Eigenvectors Strang · Chapter 18 Strang

Chapter 19

  1. Diagonalization and Powers of a Matrix Strang · Chapter 19 Strang

Chapter 20

  1. Differential Equations and Matrix Exponentials Strang · Chapter 20 Strang

Chapter 21

  1. Markov Matrices and Fourier Series Strang · Chapter 21 Strang

Chapter 22

  1. Symmetric Matrices and Positive Definiteness Strang · Chapter 22 Strang

Chapter 23

  1. Complex Matrices and Fourier Transform Strang · Chapter 23 Strang

Chapter 24

  1. Positive Definite Matrices Strang · Chapter 24 Strang

Chapter 25

  1. Similar Matrices Strang · Chapter 25 Strang

Chapter 26

  1. Singular Value Decomposition Strang · Chapter 26 Strang

Chapter 27

  1. Linear Transformations, Change of Basis and Image Compression Strang · Chapter 27 Strang

Chapter 28

  1. Left, Right and Pseudo Inverses Strang · Chapter 28 Strang