Module NameDownload


Sl.No Chapter Name MP4 Download
1Elementary row operationsDownload
2Echelon form of a matrixDownload
3 Rank of a matrixDownload
4System of Linear Equations-IDownload
5System of Linear Equations-IIDownload
6Introduction to Vector SpacesDownload
7SubspacesDownload
8Basis and DimensionDownload
9Linear TransformationsDownload
10Rank and Nullity Download
11Inverse of a Linear TransformationDownload
12Matrix Associated with a LTDownload
13Eigenvalues and Eigenvectors Download
14Cayley-Hamilton Theorem and Minimal Polynomial Download
15DiagonalizationDownload
16Special MatricesDownload
17More on Special Matrices and Gerschgorin TheoremDownload
18Inner Product SpacesDownload
19Vector and Matrix NormsDownload
20Gram Schmidt ProcessDownload
21 Normal MatricesDownload
22Positive Definite MatricesDownload
23Positive Definite and Quadratic Forms Download
24Gram Matrix and Minimization of Quadratic FormsDownload
25Generalized Eigenvectors and Jordan Canonical FormDownload
26Evaluation of Matrix FunctionsDownload
27Least Square Approximation Download
28Singular Value Decomposition Download
29Pseudo-Inverse and SVDDownload
30Introduction to Ill-Conditioned SystemsDownload
31Regularization of Ill-Conditioned Systems Download
32Linear Systems : Iterative Methods IDownload
33Linear Systems : Iterative Methods IIDownload
34Non-Stationary Iterative Methods: Steepest Descent-I Download
35Non-Stationary Iterative Methods: Steepest Descent-IIDownload
36Krylov Subspace Iterative Methods (Conjugate Gradient Method)Download
37Krylov Subspace Iterative Methods (CG and Pre-Conditioning) Download
38Introduction to Positive MatricesDownload
39Positive Matrices, Positive Eigenpair, Perron Root and vector, Example Download
40Polar Decomposition Download

Sl.No Chapter Name English
1Elementary row operationsPDF unavailable
2Echelon form of a matrixPDF unavailable
3 Rank of a matrixPDF unavailable
4System of Linear Equations-IPDF unavailable
5System of Linear Equations-IIPDF unavailable
6Introduction to Vector SpacesPDF unavailable
7SubspacesPDF unavailable
8Basis and DimensionPDF unavailable
9Linear TransformationsPDF unavailable
10Rank and Nullity PDF unavailable
11Inverse of a Linear TransformationPDF unavailable
12Matrix Associated with a LTPDF unavailable
13Eigenvalues and Eigenvectors PDF unavailable
14Cayley-Hamilton Theorem and Minimal Polynomial PDF unavailable
15DiagonalizationPDF unavailable
16Special MatricesPDF unavailable
17More on Special Matrices and Gerschgorin TheoremPDF unavailable
18Inner Product SpacesPDF unavailable
19Vector and Matrix NormsPDF unavailable
20Gram Schmidt ProcessPDF unavailable
21 Normal MatricesPDF unavailable
22Positive Definite MatricesPDF unavailable
23Positive Definite and Quadratic Forms PDF unavailable
24Gram Matrix and Minimization of Quadratic FormsPDF unavailable
25Generalized Eigenvectors and Jordan Canonical FormPDF unavailable
26Evaluation of Matrix FunctionsPDF unavailable
27Least Square Approximation PDF unavailable
28Singular Value Decomposition PDF unavailable
29Pseudo-Inverse and SVDPDF unavailable
30Introduction to Ill-Conditioned SystemsPDF unavailable
31Regularization of Ill-Conditioned Systems PDF unavailable
32Linear Systems : Iterative Methods IPDF unavailable
33Linear Systems : Iterative Methods IIPDF unavailable
34Non-Stationary Iterative Methods: Steepest Descent-I PDF unavailable
35Non-Stationary Iterative Methods: Steepest Descent-IIPDF unavailable
36Krylov Subspace Iterative Methods (Conjugate Gradient Method)PDF unavailable
37Krylov Subspace Iterative Methods (CG and Pre-Conditioning) PDF unavailable
38Introduction to Positive MatricesPDF unavailable
39Positive Matrices, Positive Eigenpair, Perron Root and vector, Example PDF unavailable
40Polar Decomposition PDF unavailable


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