Lectures related to Question of Motivation

Covers the resolution of linear systems and its link to optimization problems.

Provides an overview of symmetric matrices, quadratic forms, and their applications in linear algebra and analysis.

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

Explores best approximation error and Shiffnen matrix properties in linear algebra.

Covers the decomposition of matrices into triangular blocks and spectral decomposition.

Explores symmetric matrices, diagonalization, and quadratic forms properties.

Covers the concepts of image and kernel in linear algebra, focusing on uniqueness and orthogonal projections.

Explores linear applications in vector spaces, emphasizing subspaces and properties of linear maps.