Matrix Operations: Rules and Applications

Related lectures (26)

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

Provides an overview of symmetric matrices, quadratic forms, and their applications in linear algebra and analysis.

Introduces symmetric and anti-symmetric matrices, matrix powers, inverses, elementary matrices, and matrix manipulation.

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Covers the definitions and properties of matrices, including matrix operations and determinants.

Covers matrix product, inverses, and properties of invertible matrices.

Covers matrix operations and reduction to echelon form with practical examples.

Covers the fundamentals of linear equations, matrices, and systems of linear equations, including matrix operations and solutions.

Covers elementary matrices, their properties, and the algorithm to find the inverse of a matrix.

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