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Module Name | Download |
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noc18_ee31_Assignment1 | noc18_ee31_Assignment1 |
noc18_ee31_Assignment10 | noc18_ee31_Assignment10 |
noc18_ee31_Assignment11 | noc18_ee31_Assignment11 |
noc18_ee31_Assignment12 | noc18_ee31_Assignment12 |
noc18_ee31_Assignment13 | noc18_ee31_Assignment13 |
noc18_ee31_Assignment2 | noc18_ee31_Assignment2 |
noc18_ee31_Assignment3 | noc18_ee31_Assignment3 |
noc18_ee31_Assignment4 | noc18_ee31_Assignment4 |
noc18_ee31_Assignment5 | noc18_ee31_Assignment5 |
noc18_ee31_Assignment6 | noc18_ee31_Assignment6 |
noc18_ee31_Assignment7 | noc18_ee31_Assignment7 |
noc18_ee31_Assignment8 | noc18_ee31_Assignment8 |
noc18_ee31_Assignment9 | noc18_ee31_Assignment9 |
Sl.No | Chapter Name | MP4 Download |
---|---|---|
1 | Lec 01- Vectors and Matrices- Linear Independence and Rank | Download |
2 | Lec 02 - Eigenvectors and Eigenvalues of Matrices and their Properties | Download |
3 | Lec 03 - Positive Semidefinite (PSD) and Postive Definite (PD) Matrices and their Properties | Download |
4 | Lec 04 - Inner Product Space and it's Properties: Linearity, Symmetry and Positive Semi-definite | Download |
5 | Lec 05 - Inner Product Space and its Properties: Cauchy Schwarz Inequality | Download |
6 | Lec 06 - Properties of Norm, Gaussian Elimination and Echleon form of matrix | Download |
7 | Lec 07- Gram Schmidt Orthogonalization Procedure | Download |
8 | Lec 08- Null Space and Trace of Matrices | Download |
9 | Lec 09- Eigenvalue Decomposition of Hermitian Matrices and Properties | Download |
10 | Lec 10- Matrix Inversion Lemma (Woodbury identity) | Download |
Sl.No | Chapter Name | English |
---|---|---|
1 | Lec 01- Vectors and Matrices- Linear Independence and Rank | Download Verified |
2 | Lec 02 - Eigenvectors and Eigenvalues of Matrices and their Properties | Download Verified |
3 | Lec 03 - Positive Semidefinite (PSD) and Postive Definite (PD) Matrices and their Properties | Download Verified |
4 | Lec 04 - Inner Product Space and it's Properties: Linearity, Symmetry and Positive Semi-definite | Download Verified |
5 | Lec 05 - Inner Product Space and its Properties: Cauchy Schwarz Inequality | Download Verified |
6 | Lec 06 - Properties of Norm, Gaussian Elimination and Echleon form of matrix | Download Verified |
7 | Lec 07- Gram Schmidt Orthogonalization Procedure | Download Verified |
8 | Lec 08- Null Space and Trace of Matrices | Download Verified |
9 | Lec 09- Eigenvalue Decomposition of Hermitian Matrices and Properties | Download Verified |
10 | Lec 10- Matrix Inversion Lemma (Woodbury identity) | Download Verified |
Sl.No | Chapter Name | Gujarati |
---|---|---|
1 | Lec 01- Vectors and Matrices- Linear Independence and Rank | Download |
2 | Lec 02 - Eigenvectors and Eigenvalues of Matrices and their Properties | Download |
3 | Lec 03 - Positive Semidefinite (PSD) and Postive Definite (PD) Matrices and their Properties | Download |
4 | Lec 04 - Inner Product Space and it's Properties: Linearity, Symmetry and Positive Semi-definite | Download |
5 | Lec 05 - Inner Product Space and its Properties: Cauchy Schwarz Inequality | Download |
6 | Lec 06 - Properties of Norm, Gaussian Elimination and Echleon form of matrix | Download |
7 | Lec 07- Gram Schmidt Orthogonalization Procedure | Download |
8 | Lec 08- Null Space and Trace of Matrices | Download |
9 | Lec 09- Eigenvalue Decomposition of Hermitian Matrices and Properties | Download |
10 | Lec 10- Matrix Inversion Lemma (Woodbury identity) | Download |
Sl.No | Chapter Name | Tamil |
---|---|---|
1 | Lec 01- Vectors and Matrices- Linear Independence and Rank | Download |
2 | Lec 02 - Eigenvectors and Eigenvalues of Matrices and their Properties | Download |
3 | Lec 03 - Positive Semidefinite (PSD) and Postive Definite (PD) Matrices and their Properties | Download |
4 | Lec 04 - Inner Product Space and it's Properties: Linearity, Symmetry and Positive Semi-definite | Download |
5 | Lec 05 - Inner Product Space and its Properties: Cauchy Schwarz Inequality | Download |
6 | Lec 06 - Properties of Norm, Gaussian Elimination and Echleon form of matrix | Download |
7 | Lec 07- Gram Schmidt Orthogonalization Procedure | Download |
8 | Lec 08- Null Space and Trace of Matrices | Download |
9 | Lec 09- Eigenvalue Decomposition of Hermitian Matrices and Properties | Download |
10 | Lec 10- Matrix Inversion Lemma (Woodbury identity) | Download |