Projections and Symmetries

Related lectures (30)

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Covers linear transformations, matrices, kernels, and properties of invertible matrices.

Covers landmarks, coordinate systems, frames, and terminology in coordinates, emphasizing geometric angles and orthogonal vectors.

Explores linear applications in R² and matrix representation, including basis, operations, and geometric interpretation of transformations.

Explores the scalar product of vectors, including properties and calculation methods.

Covers matrices, linear applications, vector spaces, and bijective functions.

Covers the geometry of the triangle, including inequalities, heights, and centers.

Explores real functions, their graphs, properties, and transformations, including symmetry and surjection.

Covers the geometric description of orthogonal projections and reflections in 2D, focusing on transformations and their properties.

Covers translations, homotheties, and geometric transformations using vectors and matrices.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.