Power Method

Related lectures (23)

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Explores properties of orthogonal and triangular matrices with linearly independent columns and their mathematical operations.

Covers the criteria for diagonalizing a matrix and provides illustrative examples.

Covers the properties of orthogonal matrices and their eigenvalues.

Covers the diagonalization of matrices using eigenvectors and eigenvalues.

Explains linear independence, basis, and matrix rank with examples and exercises.

Covers phase portraits, eigenvalue decomposition, Jordan decomposition, and stable nodes in non-linear systems.

Explores the application of matrices and eigendecompositions in networks.

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Explores the concept of linear independence in vector spaces through definitions and illustrative examples.

Covers Canonical Correlation Analysis, a method to find relationships between two sets of variables.