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2.1 || Matrix Operation || transpose of matrix || linear algebra
Codelab with Maryam
Sep 4, 2024
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2..2 || Inverse of a matrix || invertible and not invertible matrix || elementary matrix
2.5 || Matrix factorization || LU factorization || linear algebra
2.4 || portioned matrix linear algebra
2.9 || Dimension and rank of a matrix || linear algebra
1.8 || linear transformation || examples and exercise solution
1.4 || The matrix equation || linear algebra || examples|| with exercise solution
1.5|| Solution set of linear systems || trivial and non trivial solution
1.3 || vector equations in linear algebra || example solution || exercise solution
4.1 || Vector space and subspace|| linear algebra
4.2 || Null space || column space || linear algebra
4.4 || coordinate system linear algebra
5.3 || Diagnolization in linear algebra
5.1 || Eigenvalues|| Eigenvectors in linear algebra
3.2 || properties of determinant|| example
4.3 || linearly I| independent set || linear algebra
3.3 || Cramer rule || values and linear transfer || inverse of matrix || invertible matrix
4.5 || dimension of a vector space || dimension of col space || dimension of NUL space
6.5 least square problem in linear algebra
7.1 || Diagnolization of symmetric and non symmetric matrix
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