Lectures related to Untitled | EPFL Graph Search

Explores orthogonality, norms, and distances in vector spaces for solving linear systems.

Covers the basics of linear algebra, emphasizing the identification of subspaces through key properties.

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.

Discusses bases in vector spaces of known dimension and how to determine if a given set is a base.

Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.

Covers the concept of the dimension of a subspace in a finite-dimensional vector space.

Explains the dimension of a sum of vector subspaces in a vector space.

Covers linear independence, bases, and coordinate systems with examples and theorems.

Explores polynomial operations, properties, and subspaces in vector spaces.