Linear Systems Resolution

Related lectures (31)

Page 2 of 4

Covers the fundamentals of linear equations, matrices, and systems of linear equations, including matrix operations and solutions.

Covers the resolution of linear systems using the Gauss method to determine unique, infinite, or no solutions.

Covers iterative methods for solving linear systems, emphasizing convergence analysis and well-chosen matrices.

Explores controllability in linear systems, discussing invertibility, associated matrices, and system behavior implications.

Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.

Covers systems of equations, matrices, solving examples, and consequences of invertible matrices.

Covers the Singular Value Decomposition (SVD) in detail, including properties of matrices and system linearity.

Covers explicating sequences using matrices and their implications, illustrated with examples.

Explores solving systems of equations using matrices and determinants.

Covers the matrix representations of linear applications and the equivalence between matrices.