23
Lectures
100
SAR
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CHAPTER 7 Iterative Technique in Matrix Algebra
- 7.1 What we Are going to Learn in chapter &? 03:58
- 7.1 Vectors Norm 11:50
- 7.1 Important Things about Vectors Norm 12:38
- 7.1 Distance Between Vectors 07:00
- 7.1 Convergent Sequence of Vectors With Respect to Vector Norm 12:21
- 7.1 Convergent Sequence of Vectors With Respect to L2 Norm 08:45
- 7.1 Matrix Norm 09:01
- 7.1 Infinite Norm for Matrix 03:48
- 7.2 What is the Meaning of Eigenvalue and Eigenvector ? 09:54
- 7.2 Example of Finding Eigenvalue and Eigenvector 13:42
- 7.2 Some Definitions and Example 1 09:54
- 7.2 Some Important Notes about Eigenvalue and Eigenvector 07:29
- 7.2 Example 2 ( Finding Eigenvalue and Eigenvector) 20:53
- 7.2 Spectral Radius 10:40
- 7.2 Example 3 20:38
- 7.2 Convergent Matrix 15:13
- 7.3 Jacobi's Method 06:33
- 7.3 Example 1 (Apply Jacobi's Method) 15:41
- 7.3 Standard Form of Jacobi Method 06:50
- 7.3 Example 2 06:11
- 7.3 Gauss-Seidel Method 15:14
- 7.3 Standard Form of Gauss-Seidel Method 03:46
- 7.3 Convergence of Iteration Technique 18:15
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CHAPTER 7 Iterative Technique in Matrix Algebra