Linear Algebra

Linear Algebra

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Lec01 Introduction to Algebraic Structures Rings and Fields

1 of 60

1 of 60

Lec01 Introduction to Algebraic Structures Rings and Fields

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Linear Algebra

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  1. 1 Lec01 Introduction to Algebraic Structures Rings and Fields
  2. 2 Lec02 Defnition of Vector Spaces
  3. 3 Lec03 Examples of Vector Spaces
  4. 4 lec04 Defnition of subspaces
  5. 5 Lec05 Examples of subspaces
  6. 6 Lec06 Examples of subspaces continued
  7. 7 Lec07 Sum of subspaces
  8. 8 Lec08 System of linear equations
  9. 9 lec09 Gauss elimination
  10. 10 Lec10 Generating system , linear independence and bases
  11. 11 Lec11 Examples of a basis of a vector space
  12. 12 Lec12 Review of univariate polynomials
  13. 13 Lec13 Examples of univariate polynomials and rational functions
  14. 14 Lec14 More examples of a basis of vector spaces
  15. 15 Lec15 Vector spaces with finite generating system
  16. 16 Lec16 Steinitzs exchange theorem and examples
  17. 17 Lec17 Examples of finite dimensional vector spaces
  18. 18 Lec18 Dimension formula and its examples
  19. 19 Lec19 Existence of a basis
  20. 20 Lec20 Existence of a basis continued
  21. 21 Lec21 Existence of a basis continued
  22. 22 Lec22 Introduction to Linear Maps
  23. 23 Lec23 Examples of Linear Maps
  24. 24 Lec24 Linear Maps and Bases
  25. 25 Lec25 Pigeonhole principle in Linear Algebra
  26. 26 Lec26 Interpolation and the rank theorem
  27. 27 Lec27 Examples
  28. 28 Lec28 Direct sums of vector spaces
  29. 29 Lec29 Projections
  30. 30 Lec30 Direct sum decomposition of a vector space
  31. 31 Lec31 Dimension equality and examples
  32. 32 Lec32 Dual spaces
  33. 33 Lec33 Dual spaces continued
  34. 34 Lec34 Quotient spaces
  35. 35 Lec35 Homomorphism theorem of vector spaces
  36. 36 Lec36 Isomorphism theorem of vector spaces
  37. 37 Lec37 Matrix of a linear map
  38. 38 Lec38 Matrix of a linear map continued
  39. 39 Lec39 Matrix of a linear map continued
  40. 40 Lec40 Change of bases
  41. 41 Lec41 Computational rules for matrices
  42. 42 Lec42 Rank of a matrix
  43. 43 Lec43 Computation of the rank of a matrix
  44. 44 Lec44 Elementary matrices
  45. 45 Lec45 Elementary operations on matrices
  46. 46 Lec46 LR decomposition
  47. 47 Lec47 Elementary Divisor Theorem
  48. 48 Lec48 Permutation groups
  49. 49 Lec49 Canonical cycle decomposition of permutations
  50. 50 Lec50 Signature of a permutation
  51. 51 Lec51 Introduction to multilinear maps
  52. 52 Lec52 Multilinear maps continued
  53. 53 Lec53 Introduction to determinants
  54. 54 Lec54 Determinants continued
  55. 55 Lec55 Computational rules for determinants
  56. 56 Lec56 Properties of determinants and adjoint of a matrix
  57. 57 Lec57 Adjoint determinant theorem
  58. 58 Lec58 The determinant of a linear operator
  59. 59 Lec59 Determinants and Volumes
  60. 60 Lec60 Determinants and Volumes continued

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