Linear Algebra

Linear Algebra

Kimberly Brehm via YouTube Direct link

Linear Algebra 1.3.1 Vector Equations

5 of 46

5 of 46

Linear Algebra 1.3.1 Vector Equations

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Linear Algebra

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  1. 1 Linear Algebra 1.1.1 Systems of Linear Equations
  2. 2 Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations
  3. 3 Linear Algebra 1.2.1 Row Reduction and Echelon Forms
  4. 4 Linear Algebra 1.2.2 Solution Sets and Free Variables
  5. 5 Linear Algebra 1.3.1 Vector Equations
  6. 6 Linear Algebra 1.3.2 Linear Combinations
  7. 7 Linear Algebra 1.4.1 The Matrix Equation Ax=b
  8. 8 Linear Algebra 1.4.2 Computation of Ax
  9. 9 Linear Algebra 1.5.1 Homogeneous System Solutions
  10. 10 Linear Algebra 1.5.2 Non-Homogeneous System Solutions
  11. 11 Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors
  12. 12 Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow
  13. 13 Linear Algebra 1.7.1 Linear Independence
  14. 14 Linear Algebra 1.7.2 Special Ways to Determine Linear Independence
  15. 15 Linear Algebra 1.8.1 Matrix Transformations
  16. 16 Linear Algebra 1.8.2 Introduction to Linear Transformations
  17. 17 Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples
  18. 18 Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose
  19. 19 Linear Algebra 2.2.1 The Inverse of a Matrix
  20. 20 Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties
  21. 21 Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse
  22. 22 Linear Algebra 2.3.1 Characterizations of Invertible Matrices
  23. 23 Linear Algebra 3.1.1 Introduction to Determinants
  24. 24 Linear Algebra 3.1.2 Co-factor Expansion
  25. 25 Linear Algebra 3.2.1 Properties of Determinants
  26. 26 Linear Algebra 4.1.1 Vector Spaces
  27. 27 Linear Algebra 4.1.2 Subspace of a Vector Space
  28. 28 Linear Algebra 4.2.1 Null Spaces
  29. 29 Linear Algebra 4.2.2 Column Spaces
  30. 30 Linear Algebra 4.3.1 Linearly Independent Sets and Bases
  31. 31 Linear Algebra 4.3.2 The Spanning Set Theorem
  32. 32 Linear Algebra 4.5.1 The Dimension of a Vector Space
  33. 33 Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space
  34. 34 Linear Algebra 4.6.1 The Row Space
  35. 35 Linear Algebra 4.6.2 Rank
  36. 36 Linear Algebra 5.1.1 Eigenvectors and Eigenvalues
  37. 37 Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues
  38. 38 Linear Algebra 5.2.1 Determinants and the IMT
  39. 39 Linear Algebra 5.2.2 The Characteristic Equation
  40. 40 Linear Algebra 6.1.1 Inner Product, Vector Length and Distance
  41. 41 Linear Algebra 6.1.2 Orthogonal Vectors
  42. 42 Linear Algebra 6.2.1 Orthogonal Sets
  43. 43 Linear Algebra 6.2.2 Orthogonal Projections
  44. 44 Linear Algebra 6.3.1 Orthogonal Decomposition Theorem
  45. 45 Linear Algebra 6.3.2 The Best Approximation Theorem
  46. 46 Linear Algebra 6.5.1 Least Squares Problems

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