Matrix operations: Basics and Manipulation

Related lectures (28)

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Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

Covers matrix multiplication, properties, and inverses in linear algebra.

Covers the concept of Singular Value Decomposition (SVD) for compressing information in matrices and images.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Covers matrix operations and properties of matrices, including symmetric and anti-symmetric matrices.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores linear applications, matrices, injectivity, unique solutions, and matrix operations.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.