Advanced Matrix Theory and Linear Algebra for Engineers (USB)

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SKU
111108066



Media Storage Type : 32 GB USB Stick

NPTEL Subject Matter Expert : Prof. Vittal Rao

NPTEL Co-ordinating Institute : IISc Bangalore

NPTEL Lecture Count : 40

NPTEL Course Size : 19 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)


Lecture Titles:

Lecture 1 - Prologue - Part 1
Lecture 2 - Prologue - Part 2
Lecture 3 - Prologue - Part 3
Lecture 4 - Linear Systems - Part 1
Lecture 5 - Linear Systems - Part 2
Lecture 6 - Linear Systems - Part 3
Lecture 7 - Linear Systems - Part 4
Lecture 8 - Vector Spaces - Part 1
Lecture 9 - Vector Spaces - Part 2
Lecture 10 - Linear Independence and Subspaces - Part 1
Lecture 11 - Linear Independence and Subspaces - Part 2
Lecture 12 - Linear Independence and Subspaces - Part 3
Lecture 13 - Linear Independence and Subspaces - Part 4
Lecture 14 - Basis - Part 1
Lecture 15 - Basis - Part 2
Lecture 16 - Basis - Part 3
Lecture 17 - Linear Transformations - Part 1
Lecture 18 - Linear Transformations - Part 2
Lecture 19 - Linear Transformations - Part 3
Lecture 20 - Linear Transformations - Part 4
Lecture 21 - Linear Transformations - Part 5
Lecture 22 - Inner Product and Orthogonality - Part 1
Lecture 23 - Inner Product and Orthogonality - Part 2
Lecture 24 - Inner Product and Orthogonality - Part 3
Lecture 25 - Inner Product and Orthogonality - Part 4
Lecture 26 - Inner Product and Orthogonality - Part 5
Lecture 27 - Inner Product and Orthogonality - Part 6
Lecture 28 - Diagonalization - Part 1
Lecture 29 - Diagonalization - Part 2
Lecture 30 - Diagonalization - Part 3
Lecture 31 - Diagonalization - Part 4
Lecture 32 - Hermitian and Symmetric matrices - Part 1
Lecture 33 - Hermitian and Symmetric matrices - Part 2
Lecture 34 - Hermitian and Symmetric matrices - Part 3
Lecture 35 - Hermitian and Symmetric matrices - Part 4
Lecture 36 - Singular Value Decomposition (SVD) - Part 1
Lecture 37 - Singular Value Decomposition (SVD) - Part 2
Lecture 38 - Back To Linear Systems - Part 1
Lecture 39 - Back To Linear Systems - Part 2
Lecture 40 - Epilogue

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