Systems of linear equations with infinite and with no solutions
4
Elementary row operations
5
Matrix addition
6
Matrix multiplication
7
Introduction to vectors
8
Vector addition
9
Unit vectors
10
Dot product of two vectors
11
Vector cross product
12
Matrix vector multiplication
13
Identity matrices
14
Inverse matrices
15
Finding the inverse of a 2x2 matrix
16
Column view of a matrix
17
Elementary matrices
18
LU decomposition of matrices
19
Transpose of matrices
20
Vector spaces and subspaces
21
Column space of a matrix
22
Spanning a subspace
23
Null space of a matrix
24
Null space of a matrix example
25
Null space examples
26
Tutorial on points and vectors in linear algebra
27
Tutorial on vector arithmetic in linear algebra
28
Example problems on points and vectors in linear algebra
29
Introduction to Euclidean vector spaces with Julia
30
Tutorial on matrices with help from Julia
31
Solving linear systems using elementary row operations with Julia
32
Ordinary Least Squares Tutorial using Python
33
Gram Schmidt process for QR decomposition using Julia
Description:
Dive into the fundamentals of linear algebra through a comprehensive 9-hour mathematics vlog. Explore systems of linear equations, including those with infinite and no solutions, and master elementary row operations. Learn matrix operations like addition and multiplication, and delve into vector concepts such as addition, unit vectors, dot products, and cross products. Understand matrix-vector multiplication, identity matrices, and inverse matrices, including how to find the inverse of a 2x2 matrix. Examine the column view of matrices, elementary matrices, and LU decomposition. Study vector spaces, subspaces, column spaces, and null spaces with practical examples. Engage in tutorials on points, vectors, and vector arithmetic in linear algebra, and solve example problems. Gain hands-on experience using Julia for Euclidean vector spaces, matrices, and solving linear systems. Conclude with an Ordinary Least Squares tutorial using Python and learn the Gram-Schmidt process for QR decomposition using Julia.
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