Projections and Symmetries

Related lectures (30)

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Explores symmetric matrices, diagonalization, and quadratic forms properties.

Covers examples of symmetric matrices and their properties, including eigenvectors and eigenvalues.

Explores orthogonal matrices and transformations, emphasizing preservation of norms and angles.

Explores symmetric matrices, quadratic forms, diagonalization, and definiteness with examples and calculations.

Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.

Focuses on fixed points in graph theory and their implications in algorithms and analysis.

Explores counterfactuals in SEMs and D-Separation in graphical models.

Explores true angle magnitude, reflections, isometries, and symmetries in modern geometry, with practical CAD applications.

Introduces orthogonal bases, projection onto subspaces, and the Gram-Schmidt process in linear algebra.

Delves into singular value decomposition and its applications in linear algebra.