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Lecture
Linear Algebra: Matrix Operations
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Related lectures (28)
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Linear Transformations: Matrices and Applications
Explores linear transformations, matrices, injective, surjective, and bijective properties, matrix operations, and special matrix types.
Diagonalization of Linear Transformations
Covers the diagonalization of linear transformations in R^3, exploring properties and examples.
Linear Transformations: Matrices and Applications
Covers linear transformations using matrices, focusing on linearity, image, and kernel.
Linear Algebra: Subspaces and Transformations
Explores subspaces in linear algebra and transformations, including kernels and images of linear transformations.
Linear Algebra: Basis and Matrices
Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.
Matrix Similarity and Diagonalization
Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.
Matrix Row and Column Rank: Part 1
Explores the row and column ranks of a matrix in linear algebra, emphasizing their calculation and relationship.
Linear Applications: Matrices and Transformations
Covers linear applications, matrices, injectivity, surjectivity, and matrix multiplication properties.