Math 2.0

Resources / course

Advanced Matrix Theory and Linear Algebra for Engineers 3HX92X2H1D

URIm2://res/3HX92X2H1D
Kindcourse
CreatorsVittal Rao (instructor)
Date2012-06-18
MSC15-XX
Scopein
Idscourse 04dese585:111108066

Expressions

e1: edition

Languageen
Date2012-06-18
Contents
  • part 1: Prologue
  • session 1: Prologue Part 1
  • session 2: Prologue Part 2
  • session 3: Prologue Part 3
  • part 2: Linear Systems
  • session 4: Linear Systems Part 1
  • session 5: Linear Systems Part 2
  • session 6: Linear Systems Part 3
  • session 7: Linear Systems Part 4
  • part 3: Vector Spaces
  • session 8: Vector Spaces Part 1
  • session 9: Vector Spaces Part 2
  • part 4: Linear Independence and Subspaces
  • session 10: Linear Independence and Subspaces Part 1
  • session 11: Linear Independence and Subspaces Part 2
  • session 12: Linear Independence and Subspaces Part 3
  • session 13: Linear Independence and Subspaces Part 4
  • part 5: Basis
  • session 14: Basis Part 1
  • session 15: Basis Part 2
  • session 16: Basis Part 3
  • part 6: Linear Transformations
  • session 17: Linear Transformations Part 1
  • session 18: Linear Transformations Part 2
  • session 19: Linear Transformations Part 3
  • session 20: Linear Transformations Part 4
  • session 21: Linear Transformations Part 5
  • part 7: Inner Product and Orthogonality
  • session 22: Inner Product and Orthogonality Part 1
  • session 23: Inner Product and Orthogonality Part 2
  • session 24: Inner Product and Orthogonality Part 3
  • session 25: Inner Product and Orthogonality Part 4
  • session 26: Inner Product and Orthogonality Part 5
  • session 27: Inner Product and Orthogonality Part 6
  • part 8: Diagonalization
  • session 28: Diagonalization Part 1
  • session 29: Diagonalization Part 2
  • session 30: Diagonalization Part 3
  • session 31: Diagonalization Part 4
  • part 9: Hermitian and Symmetric matrices
  • session 32: Hermitian and Symmetric matrices Part 1
  • session 33: Hermitian and Symmetric matrices Part 2
  • session 34: Hermitian and Symmetric matrices Part 3
  • session 35: Hermitian and Symmetric matrices Part 4
  • part 10: Singular Value Decomposition (SVD)
  • session 36: Singular Value Decomposition (SVD) Part 1
  • session 37: Singular Value Decomposition (SVD) Part 2
  • part 11: Back To Linear Systems
  • session 38: Back To Linear Systems Part 1
  • session 39: Back To Linear Systems Part 2
  • part 12: Epilogue
  • session 40: Epilogue

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