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3.2 || properties of determinant|| example
Codelab with Maryam
Sep 7, 2024
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3.3 || Cramer rule || values and linear transfer || inverse of matrix || invertible matrix
4.2 || Null space || column space || linear algebra
Unit-1 matrices(part-5)- engineering mathematics-1
4.5 || dimension of a vector space || dimension of col space || dimension of NUL space
2.5 || Matrix factorization || LU factorization || linear algebra
7.1 || Diagnolization of symmetric and non symmetric matrix
2..2 || Inverse of a matrix || invertible and not invertible matrix || elementary matrix
1.5|| Solution set of linear systems || trivial and non trivial solution
5.2 || Characteristic equations easy tricks|| Eigenvalues || linear algebra
2.9 || Dimension and rank of a matrix || linear algebra
1.4 || The matrix equation || linear algebra || examples|| with exercise solution
7.2 || Quadratic form in linear algebra
5.1 || Eigenvalues|| Eigenvectors in linear algebra
6.4 || Gram- Schmidt process && QR factorization
1.8 || linear transformation || examples and exercise solution
2.1 || Matrix Operation || transpose of matrix || linear algebra
6.2 || Orthogonal set || orthogonal projection in linear algebra
1.3 || vector equations in linear algebra || example solution || exercise solution
6.5 least square problem in linear algebra
7.3 || constraint optimization || with question solution