Linear Algebra

Linear Algebra

Professor Dave Explains via YouTube Direct link

Orthogonality and Orthonormality

17 of 21

17 of 21

Orthogonality and Orthonormality

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Classroom Contents

Linear Algebra

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  1. 1 Introduction to Linear Algebra: Systems of Linear Equations
  2. 2 Understanding Matrices and Matrix Notation
  3. 3 Manipulating Matrices: Elementary Row Operations and Gauss-Jordan Elimination
  4. 4 Types of Matrices and Matrix Addition
  5. 5 Matrix Multiplication and Associated Properties
  6. 6 Evaluating the Determinant of a Matrix
  7. 7 The Vector Cross Product
  8. 8 Inverse Matrices and Their Properties
  9. 9 Solving Systems Using Cramer's Rule
  10. 10 Understanding Vector Spaces
  11. 11 Subspaces and Span
  12. 12 Linear Independence
  13. 13 Basis and Dimension
  14. 14 Change of Basis
  15. 15 Linear Transformations on Vector Spaces
  16. 16 Image and Kernel
  17. 17 Orthogonality and Orthonormality
  18. 18 The Gram-Schmidt Process
  19. 19 Finding Eigenvalues and Eigenvectors
  20. 20 Diagonalization
  21. 21 Complex, Hermitian, and Unitary Matrices

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