Tarnished Linear Algebra
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Chapter 12
  • 1-1 About this note 9月 11, 2021
  • 1-2 prereq 9月 11, 2021
Chapter 2 Vectors in n dimension3
  • 2-1 Vector 9月 11, 2021
  • 2-2 Adding vector 9月 11, 2021
  • 2-3 Assignment 9月 11, 2021
Chapter 3 Meaning of "Linear" in linear algebra4
  • 3-1 Linear combination of vectors 9月 11, 2021
  • 3-2 Span of vectors and space 9月 11, 2021
  • 3-3 Basis of space 9月 11, 2021
  • 3-4 Assignment 9月 11, 2021
Chapter 4 Transformation: the origin of matrix3
  • 4-1 Linear Transformation 9月 11, 2021
  • 4-2 Matrix multiplication with vector 9月 11, 2021
  • 4-3 Assignment 9月 11, 2021
Chapter 5 Solving Linear system using matrix6
  • 5-1 intercepts problem 9月 11, 2021
  • 5-2 Gaussian elimination 9月 11, 2021
  • 5-3 Column space and null space 9月 11, 2021
  • 5-4 The cheat: inverse matrix 9月 11, 2021
  • 5-5 The fundamental theorem of Linear Algebra 9月 11, 2021
  • 5-6 assignments 9月 11, 2021
Chapter 6 Matrix and Matrix multiplication4
  • 6-1 Matrix and matrix multiplication 9月 11, 2021
  • 6-2 The “Steps” in Gaussian elimination 9月 11, 2021
  • 6-3 Row Reduced Echelon Form 9月 11, 2021
  • 6-4 Change the basis 9月 11, 2021
Chapter 7 Eigenvector, eigenvalue, and Diagonalization4
  • 7-1 Eigenvalue and Eigenvector 9月 11, 2021
  • 7-2 Characteristic polynomials 9月 11, 2021
  • 7-3 Diagonal matrix and transpose 9月 11, 2021
  • 7-4 Diagonalization 9月 11, 2021
Tarnished Linear Algebra - By David Nie
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