Transformation matrix

Related lectures (31)

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

Covers the concept of affine transformations in functions, including shifting and compressing functions.

Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.

Explores linear transformations, matrices, and their practical applications in various contexts.

Explores the symmetries of Navier-Stokes equations in periodic boxes, including translations, transformations, rotations, and scaling.

Explores change of basis matrices in linear algebra, emphasizing the importance of understanding matrix transformations between different bases.

Explores isometries in Euclidean spaces, including translations, rotations, and linear symmetries, with a focus on matrices.

Provides an overview of image formation and transformation principles in computer vision.

Explores linear transformations, matrices, injective and surjective functions, and their applications.

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