lectures.alex.balgavy.eu

Lecture notes from university.
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      1 +++
      2 title = 'Linear Algebra'
      3 +++
      4 
      5 # Linear Algebra
      6 If you need help with any of the topics, check out [PatrickJMT on Youtube](https://www.youtube.com/user/patrickJMT). He has some of the best math videos on the internet.
      7 
      8 [Preliminary - a great article about why linear algebra is useful and important.](intuitive-guide-to-linear-algebra-notes/)
      9 
     10 - [Introduction](introduction)
     11     - [Linear Equations](introduction#linear-equations)
     12     - [Matrix notation](introduction#matrix-notation)
     13     - [Reducing a matrix](introduction#reducing-a-matrix)
     14     - [Vectors](introduction#vectors)
     15 - [Solution sets of linear systems](solution-sets-of-linear-systems)
     16     - [Homogeneous linear systems](solution-sets-of-linear-systems#homogeneous-linear-systems)
     17     - [Parametric vector form](solution-sets-of-linear-systems#parametric-vector-form)
     18     - [Linear independence](solution-sets-of-linear-systems#linear-independence)
     19 - [Linear transformations](linear-transformations)
     20 - [Matrix operations](matrix-operations)
     21     - [Sums and scalar multiples](matrix-operations#sums-and-scalar-multiples)
     22     - [Powers of a matrix](matrix-operations#powers-of-a-matrix)
     23     - [Transpose of a matrix](matrix-operations#transpose-of-a-matrix)
     24     - [Inverse of a matrix](matrix-operations#inverse-of-a-matrix)
     25     - [Elementary matrices](matrix-operations#elementary-matrices)
     26 - [Applications to computer graphics](applications-to-computer-graphics)
     27     - [Homogeneous coordinates](applications-to-computer-graphics#homogeneous-coordinates)
     28         - [2D](applications-to-computer-graphics#2d)
     29         - [3D](applications-to-computer-graphics#3d)
     30     - [Composite transformations](applications-to-computer-graphics#composite-transformations)
     31     - [Perspective projections](applications-to-computer-graphics#perspective-projections)
     32 - [Vector spaces](vector-spaces)
     33     - [Column space and null space of a matrix](vector-spaces#column-space-and-null-space-of-a-matrix)
     34     - [Basis for a subspace](vector-spaces#basis-for-a-subspace)
     35     - [Coordinates](vector-spaces#coordinates)
     36     - [Dimension of a subspace](vector-spaces#dimension-of-a-subspace)
     37 - [Eigenvectors & eigenvalues](eigenvectors-eigenvalues)
     38     - [Determinant](eigenvectors-eigenvalues#determinant)
     39     - [Similarity](eigenvectors-eigenvalues#similarity)
     40     - [Diagonalization](eigenvectors-eigenvalues#diagonalization)
     41 - [Orthogonality & least squares](orthogonality-least-squares)
     42     - [Inner (dot) product & uses](orthogonality-least-squares#inner-dot-product-uses)
     43         - [Length of a vector](orthogonality-least-squares#length-of-a-vector)
     44         - [Distance between vectors](orthogonality-least-squares#distance-between-vectors)
     45     - [Orthogonal complement](orthogonality-least-squares#orthogonal-complement)
     46     - [Orthogonal sets](orthogonality-least-squares#orthogonal-sets)
     47     - [Orthogonal projections](orthogonality-least-squares#orthogonal-projections)
     48         - [Orthogonal decomposition](orthogonality-least-squares#orthogonal-decomposition)
     49         - [Best approximation](orthogonality-least-squares#best-approximation)
     50         - [When basis for W is an orthonormal set](orthogonality-least-squares#when-basis-for-w-is-an-orthonormal-set)
     51     - [Gram-Schmidt process](orthogonality-least-squares#gram-schmidt-process)
     52         - [QR factorization](orthogonality-least-squares#qr-factorization)
     53     - [Least-squares problems](orthogonality-least-squares#least-squares-problems)
     54 - [Symmetric matrices](symmetric-matrices)
     55     - [Diagonalization of symmetric matrices](symmetric-matrices#diagonalization-of-symmetric-matrices)
     56     - [Singular value decomposition](symmetric-matrices#singular-value-decomposition)