Advanced Matrix Theory and Linear Algebra for Engineers
Offered By: NIOS via YouTube
Course Description
Overview
Syllabus
Singular Value Decomposition (SVD) Part 1 (CH_30).
Back To Linear Systems Part 2 (Ch-30).
Back To Linear Systems Part 1 (Ch-30).
Epilogue.
Back to Linear Systems Part 2.
Back to Linear Systems Part 1.
Singular value decomposition - Part 2.
Singular value decomposition - Part 1.
Hermitian and Symmetric Matrices Part 4.
Hermitian and Symmetric Matrices Part 3.
Hermitian and Symmetric matrices Part 1.
Diagonalization Part 4.
Diagonalization Part 3.
Diaggonalization Part 2.
Diagonalization Part 1.
Inner Product and Orthogonality Part 6.
Inner product and orthogonality Part 5.
Inner Product and Orthogonality Part 4.
Inner Product and Orthogonality Part 3.
Inner Product and Orthogonality Part 2.
Inner product and Orthogonality part 1.
Linear transformations - part 5.
Linear transformations - part 4.
Linear transformations - part 3.
Linear transformations - part 2.
Basis Part 3.
Linear Transformations - part 1.
Basis Part 1.
Linear independence and subspaces part 4.
Linear independence and subspaces part 3.
Linear Independence and subspaces part 2.
Linear Independence and subspaces part 1.
vector spaces part -2.
Linear transformations - part 5.
Taught by
Ch 30 NIOS: Gyanamrit
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