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Linear Algebra in Any Dimension - Matrices and Linear Systems
Preliminaries
Get an Editable Window for a Figure in Python
Introduction (1:38)
Discover the Systems of Linear Equations
Solution of Some Systems (12:52)
The Matrix View (4:49)
Solve a Matrix Equation in Python (6:22)
Application to Astronomy (17:12)
Discover the Systems of Linear Equations (pdf)
Section 2 Test
Around the Row Echelon Form of a System
Discover the Row Echelon form (3:30)
Back Substitution in Python for Systems in Row Echelon Form (10:12)
Gaussian Elimination and Back Substitution (10:15)
Gaussian Elimination and Back Substitution in Python (11:44)
Gauss Jordan Elimination (5:58)
Gauss Jordan Elimination in Python (5:05)
Around the Row Echelon Form of a System (pdf)
Section 3 Test
Pivoting for Gaussian and Gauss Jordan Elimination
Examples of Pivot (6:09)
Gaussian Elimination with Pivoting (3:00)
Gaussian Elimination with Pivoting in Python (9:42)
Gauss Jordan Elimination with Pivoting in Python (6:33)
Pivoting for Gaussian and Gauss Jordan Elimination (pdf)
Section 4 Test
The Case of Singular Matrices
Examples of Singular Linear Systems with an Infinity of Solutions (15:17)
Examples of Singular Linear Systems with no Solution (5:53)
Analyse Singular Systems with Gaussian Elimination with Pivoting (17:03)
Solve singular systems with Gauss Jordan Elimination with Pivoting (25:46)
The Case of Singular Matrices (pdf)
Section 5 Test
The Case of Rectangular Matrices
Examples of Underdetermined Systems (4:54)
Analyse Underdetermined Systems with Gaussian Elimination with Pivoting (10:21)
Solve Underdetermined Systems with Gauss Jordan Elimination with Pivoting (17:35)
Examples of Overdetermined Systems (23:45)
Least Square Optimization in Python (24:30)
The Case of Rectangular Matrices (pdf)
Section 6 Test
The Homogeneous Systems
About Homogeneous Systems (2:30)
Gauss Jordan Elimination for a Square Homogeneous System (13:06)
Gauss Jordan Elimination for an Underdetermined Homogeneous System (10:54)
Gauss Jordan Elimination for an Overdetermined Homogeneous System (12:56)
The Homogeneous Systems (pdf)
Section 7 Test
Matrices, Line Vectors and Column Vectors
Discover Matrices and Vectors in Python (12:36)
Definition of Matrices, Line Vectors and Column Vectors (3:23)
Particular Matrices (7:14)
Diagonal Matrices (28:12)
Upper and Lower Triangular Matrices (26:38)
Matrices, Line Vectors and Column Vectors (pdf)
Section 8 Test
Operations on Matrices and Line or Column Vectors
Transpose Matrices, Line and Column Vectors (14:38)
Add and Subtract Matrices and Column Vectors (21:30)
Multiply and Divide Matrices and Line or Column Vectors by Scalars (26:03)
Properties of Matrices and Vectors Addtion and Scalar Multiplication (29:46)
Multiply Matrices, Line Vectors and Column Vectors Together (18:10)
Matrices and Vectors Multiplication Properties (20:57)
Operations on Matrices and Line or Column Vectors (pdf)
Section 9 Test
Invertibility and Inversion of Square Matrices
Discover the Inverse of Matrices (9:42)
Properties of Inverses of Matrices (11:38)
Gauss Jordan Elimination with Pivot to Calculate the Inverse (16:39)
Application of Matrices Inverses to Linear Systems (6:05)
Inversion of Square Matrices (pdf)
Section 10 Test
The Elementary Matrices
Discover the Elementary Matrices (3:54)
The Elementary Matrices in Python (14:42)
Inverses of Elementary Matrices (13:26)
Use of Elementary Matrices (5:57)
The Elementary Matrices (pdf)
Section 11 Test
The Determinant of a Matrix - Recursive Definition
Discover the Determinant of a Matrix with Python (11:32)
Definition of the Determinant of a 2x2 Matrix (2:14)
Definition of the Determinant of a 3x3 Matrix (6:05)
Definition of the Determinant of Any Square Matrix (2:27)
Python Implementation of the Definition of a Determinant (10:29)
Expansion in Any Row or Column of a Determinant (11:16)
The Determinant of a Matrix - Recursive Definition (pdf)
Section 12 Test
Properties of the Determinants
Linearity of the Determinant in its Lines and Columns (20:10)
Elementary Row Operations and Determinant (4:06)
Some Conditions that Yield a Zero Determinant (13:01)
Determinant with Gaussian Elimination with Pivoting (9:59)
The Determinant of a Matrix Product (6:43)
Properties of the Determinants (pdf)
Section 13 Test
The LU-Factorization of a Matrix
Example of LU-Factorization with the Gaussian Elimination (5:25)
LU-Factorization without Pivoting (21:10)
Example of LU-Factorization with Pivoting (6:22)
LU-Factorization with Pivoting (17:11)
The LU-Factorization of a Matrix (pdf)
Final Assessment
Final Assessment Subject
Conclusion
Conclusion (0:51)
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Examples of Pivot
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